Journal articles: 'MDO'

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Silva, Cynthia Siqueira, José Fernando Machado Menten, Ana Beatriz Traldi, Julieta Santarosa, and Patrícia Watanabe Zanin Pereira. "Avaliação de milhos de diferentes densidades para frangos de corte." Revista Brasileira de Zootecnia 40, no. 7 (July 2011): 1554–61. http://dx.doi.org/10.1590/s1516-35982011000700022.

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O trabalho foi realizado com o objetivo de determinar os valores nutricionais de milhos de quatro qualidades, obtidos por meio de estratificação em mesa densimétrica, para frangos de corte em diferentes idades. Os milhos foram designados como: MDA - milho de densidade alta; MDI - milho de densidade intermediária; MDB - milho de densidade baixa; e MDO milho de densidade original, composto de 25% de MDA, 50% de MDI e 25% de MDB. Três ensaios biológicos foram conduzidos utilizando-se o método tradicional de coleta total de excretas para determinação da energia metabolizável aparente corrigida (EMAn). O primeiro ensaio metabólico foi conduzido com pintos Cobb de 14 a 17 dias, o segundo, com pintos de 25 a 28 dias e o terceiro de 38 a 41 dias de idade. Foram realizadas análises químicas para determinação do perfil nutricional, classificação de grãos segundo a densidade e comparação por meio das estimativas de equações de predição do valor energético. Os valores da EMAn dos milhos de diferentes qualidades (MDA, MDI, MDB e MDO) determinados com frangos na fase inicial foram: 3562, 3382, 3198 e 3357 kcal/kg, para a fase de crescimento: 3576, 3555, 3229 e 3416 kcal/kg e, para a fase final 3610, 3554, 3354 e 3585 kcal/kg, respectivamente. Esses valores comprovam as significativas perdas energéticas dos milhos de mais baixa qualidade e a eficiência da mesa densimétrica em estratificar os grãos. A diferença da EMAn entre as idades das aves sugere melhor eficiência de utilização da energia com o avanço da idade. As equações de predição podem ser utilizadas para estimar o valor energético de milhos, tanto por sua classificação como pelas análises bromatológicas. Entretanto, o erro sistemático associado a cada equação de predição pode comprometer a exatidão de seu valor nutricional.

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Park, Jin-Kyu, Jung-Mo Oh, Hyung-Ik Kim, Chang-Hee Lee, and Ki-Hyung Lee. "Combustion Characteristics of MDO and MDO Emulsion in Automotive Diesel Engine." Transactions of the Korean Society of Mechanical Engineers B 36, no. 9 (September 1, 2012): 945–51. http://dx.doi.org/10.3795/ksme-b.2012.36.9.945.

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Su, Hua, Chun-lin Gong, and Liang-xian Gu. "A Universal MDO Framework Based on the Adaptive Discipline Surrogate Model." International Journal of Aerospace Engineering 2018 (November 27, 2018): 1–14. http://dx.doi.org/10.1155/2018/9139267.

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High time-consuming computation has become an obvious characteristic of the modern multidisciplinary design optimization (MDO) solving procedure. To reduce the computing cost and improve solving environment of the traditional MDO solution method, this article introduces a novel universal MDO framework based on the support of adaptive discipline surrogate model with asymptotical correction by discriminative sampling. The MDO solving procedure is decomposed into three parts: framework level, architecture level, and discipline level. Framework level controls the MDO solving procedure and carries out convergence estimation; architecture level executes the MDO solution method with discipline surrogate models; discipline level analyzes discipline models to establish adaptive discipline surrogate models based on a stochastic asymptotical sampling method. The MDO solving procedure is executed as an iterative way included with discipline surrogate model correcting, MDO solving, and discipline analyzing. These are accomplished by the iteration process control at the framework level, the MDO decomposition at the architecture level, and the discipline surrogate model update at the discipline level. The framework executes these three parts separately in a hierarchical and modularized way. The discipline models and disciplinary design point sampling process are all independent; parallel computing could be used to increase computing efficiency in parallel environment. Several MDO benchmarks are tested in this MDO framework. Results show that the number of discipline evaluations in the framework is half or less of the original MDO solution method and is very useful and suitable for the complex high-fidelity MDO problem.

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Speelman, Marijke. "Familie bij het mdo." Pallium 13, no. 2 (March 2011): 26–27. http://dx.doi.org/10.1007/s12479-011-0031-7.

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ĎUroviČ, S. "What are mdo polytypes?" Phase Transitions 43, no. 1-4 (June 1993): 81–87. http://dx.doi.org/10.1080/01411599308207800.

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Humphries, Laura S., Tulsi Roy, Anne Huang, John Collins, Fuad M. Baroody, and Russell R. Reid. "Airway Morphological Changes in Pierre Robin Sequence: A Retrospective Study." Cleft Palate-Craniofacial Journal 57, no. 7 (January 22, 2020): 828–39. http://dx.doi.org/10.1177/1055665619900624.

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Objective: To investigate airway morphology changes in patients with Pierre Robin sequence (PRS) pre–/post–mandibular distraction osteogenesis (MDO) and to compare morphologic changes to age-matched controls. Design: Retrospective case–control study. Setting: Urban, academic, tertiary medical center. Patients, Participants: Fifteen patients with PRS after MDO to relieve upper airway obstruction (UAO) (2008-2018); age-matched controls for post-MDO patients. Interventions: Mandibular distraction osteogenesis, curvilinear internal mandibular distractors. Main Outcome Measures: (1) Physiologic improvement after MDO (apnea–hypopnea index; minimum oxygen saturation); (2) airway size (volume, surface area, length, mean/minimum cross-sectional area), shape (lateral:anterior–posterior ratio, cross-sectional area ratios, uniformity, sphericity), and changes with MDO; and (3) post-MDO airway size, shape versus age-matched controls. Results: Airway size increased after MDO (volume, P = .01; surface area, P = .02; length, P = .01), as did cross-sectional area (mean, P = .02; minimum, P = .02; minimum retropalatal, P = .05, mid-retroglossal, P = .02). Post-MDO PRS airways were larger than controls (volume, P < .01; surface area, P < .01; length, P < .01, cross-sectional area, P = .03). Airway shape remained nonuniform and flat post-MDO; control airways were round. Two syndromic patients required repeat MDO and had subphysiologic post-MDO airway cross-sectional area. Post-MDO PRS patients with supraphysiologic cross-sectional area along the entire airway had no UAO recurrence. Conclusions: In this small, heterogenous patient sample, MDO increases airway size, may preferentially affect the retropalatal airway, and often results in supraphysiologic airway dimensions. These retropalatal changes may be important in relieving severe UAO in patients with PRS. Generalizability of our results is limited by small cohort size and patient heterogeneity.

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Mao, Zhe, Ricardo Battaglino, Jiawei Zhou, Yingqiu Cui, Mayank Shrivastava, Gabriel Tian, Faezeh Sahebdel, and Liang Ye. "The Effect of Timing of Mandibular Distraction Osteogenesis on Weight Velocity in Infants Affected by Severe Robin Sequence." Children 9, no. 3 (February 28, 2022): 319. http://dx.doi.org/10.3390/children9030319.

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Background: Impaired weight gain is prevalent in Robin Sequence (RS) newborns. Although mandibular distraction osteogenesis (MDO) has been proven to improve oral feeding, its impact on postoperative weight gain remains unclear. The purpose of this study is to explore whether MDO can help RS babies reach a normal weight, as well as the effect of MDO timing on weight velocity. Methods: One hundred infants with severe RS and one hundred with normal controls met the inclusion criteria for the study. Included patients underwent MDO. Weights at different timing points were recorded and analyzed and compared to normal controls. Results: After the distractor removal weights of patients undergoing MDO at <1 month and 1–2 months were close to the normal control (6.81 ± 0.93 kg versus 7.18 ± 0.61 kg, p = 0.012, and 6.82 ± 0.98 kg versus 7.37 ± 0.75 kg, p = 0.033, respectively), the weights of patients undergoing MDO at 2–3 months and 3–4 months still lagged behind (7.56 ± 1.29 kg versus 8.20 ± 0.61 kg, p = 0.000206 and 7.36 ± 1.05 kg versus 8.25 ± 0.77 kg, p = 0.004, respectively). The weights of all RS infants undergoing MDO showed no significant difference compared to the controls when they aged to 1 year (9.34 ± 0.99 kg versus 9.55 ± 0.45 kg, p = 0.254 for MDO at <1 month; 9.12 ± 0.91 kg versus 9.33 ± 0.46 kg, p = 0.100 for MDO at 1 to 2 months; 9.38 ± 0.29 kg versus 9.83 ± 0.53 kg, p = 0.098 for MDO at 2 to 3 months; and 9.38 ± 0.29 kg versus 9.83 ± 0.53 kg, p = 0.098 for MDO at 3 to 4 months). Conclusion: The MDO procedure helped patients with severe RS to reach a normal weight; and MDO intervention was recommended at an early stage for early weight gain.

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Ching, Jessica A., Justin D. Daggett, Sergio A. Alvarez, Cathy L. Conley, and Ernesto J. Ruas. "A Simple Mandibular Distraction Protocol to Avoid Tracheostomy in Patients with Pierre Robin Sequence." Cleft Palate-Craniofacial Journal 54, no. 2 (March 2017): 210–15. http://dx.doi.org/10.1597/14-211.

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Objective Recent treatment goals for Pierre Robin sequence (PRS) focus on avoiding tracheostomy through modalities such as mandibular distraction osteogenesis (MDO). We primarily evaluated the efficacy of our straightforward MDO treatment protocol for resolution of PRS-associated airway obstruction while secondarily analyzing patient characteristics associated with success or failure of MDO. Design A retrospective chart review before and after treatment. Setting Tertiary institutional center and private practice setting. Patients All patients were diagnosed with PRS and treated with MDO, according to the MDO treatment protocol, by a single surgeon with the same operative technique from 1999 to 2013. A sample size of n = 38 met the inclusion criteria. Data assessed included tracheostomy status (pre-MDO, post-MDO, or none), microlaryngoscopy and bronchoscopy (MLB) findings, multipositional airway study results, clinical resolution of airway obstruction following MDO, and patient characteristics. Main Outcome Measure Resolution of airway obstruction with avoidance of a tracheostomy. Results Prior to referral for MDO, five patients required urgent tracheostomy. Of patients without a pre-MDO tracheostomy (n = 33), two patients required tracheostomy post-MDO, while 94% avoided tracheostomy with clinical resolution of airway obstruction (n = 31). On secondary analysis, anatomic abnormalities diagnosed by MLB were associated with a higher rate of tracheostomy ( P = .037), confirming the utility of preoperative evaluation with MLB; otherwise, no patient characteristics demonstrated significance in patient selection. Follow-up ranged from 6 months to 10 years (mean = 6.45 years, median = 7.61 years). Conclusions Our treatment protocol demonstrates MDO is highly effective for resolving severe airway obstruction related to PRS. Based on secondary analysis, our simplified protocol does not require amendment.

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Pires, Aline Jéssica. "A influência da gramática espanhola na Marcação Diferencial de Objeto no português diacrônico." Cadernos de Linguística 1, no. 2 (November 27, 2020): 01–20. http://dx.doi.org/10.25189/2675-4916.2020.v1.n2.id168.

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A Marcação Diferencial de Objeto (MDO) consiste em marcar o objeto direto com uma preposição. Em português, a MDO ocorre apenas com a preposição dativa A. O presente artigo examina casos de objetos diretos marcados em português diacrônico. Nosso principal objetivo é verificar a hipótese bastante difundida sobre a influência espanhola na ocorrência da MDO em português. Para atingir esse objetivo, analisamos textos portugueses de dois corpora selecionados. Investigamos fatores apontados como desencadeadores da MDO (BOSSONG, 1991): o traço semântico da animacidade, definitude e especificidade. Para confirmar se os casos de MDO encontrados em dados diacrônicos do português foram influenciados pelo espanhol e atestar quando, na história da língua, o fenômeno diminuiu, analisamos dados dos séculos XVI a XIX. Para atestar se a MDO que ocorre no português e no espanhol é a mesma, comparamos dados marcados e não marcados dos séculos XVI e XVII. Os resultados confirmam a hipótese da influência espanhola, embora a distribuição do MDO não seja a mesma no português e no espanhol dos séculos aqui analisados. Em português, os casos de objetos não marcados são mais frequentes que os casos de MDO.

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Su, Yi, Fa-Yin Wang, and Jian-Yu Zhao. "Improved Multidisciplinary Design Optimization Based on Genetic Algorithm and Artificial Neural Networks and Its Application." Journal of Computational and Theoretical Nanoscience 13, no. 10 (October 1, 2016): 6501–8. http://dx.doi.org/10.1166/jctn.2016.5593.

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Multidisciplinary Design Optimization (MDO) is an algorithm widely used in the engineering field currently. However, traditional MDO often leads to the failure of convergence or local optimum problems caused by convergence. In such cases, a multidisciplinary design optimization based on genetic algorithm (GA) and artificial neural networks (ANN) (GA-ANN-MDO) is presented in the paper. Under the thought of parallel distribution of traditional MDO, the real sub-disciplinary model is replaced by a highly precise ANN model dependent on the Latin Hypercube experimental design method in the GA-ANN-MDO, so as to reduce the computational cost and smooth the value noise. The GA optimization system level is applied to decline the possibility of partial solution involved in the optimization. As shown from the optimization results of two classic mathematical examples, GA-ANN-MDO is presented good robustness, which could quickly and effectively converge to the global optimal solution. In addition, a project example was employed finally to verify the feasibility of GA-ANN-MDO in the engineering.

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Bowo, Prasetyo, Sumarmi Sumarmi, and Sri Hardiatmi. "PENERAPAN MACAM DAN DOSIS PUPUK ORGANIK TERHADAP PERTUMBUHAN DAN HASIL TANAMAN GANDUM (Triticum aestivum L.)." Innofarm:Jurnal Inovasi Pertanian 21, no. 1 (November 27, 2019): 1. http://dx.doi.org/10.33061/innofarm.v21i1.3311.

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Penelitian tentang “Penerapan macam dan dosis pupuk organik terhadap pertumbuhan dan hasil tanaman Gandum (Triticum aestivum L.)’’ telah dilaksanakan tanggal 08 November 2018 sampai 31 januari 2019 di Green House Fakultas Pertanian Universitas Slamet Riyadi Surakarta. Penelitian ini bertujuan untuk mengetahui dan menentukan pengaruh terbaik terhadap pertumbuhan dan hasil tanaman gandum. Rancangan penelitian yang digunakan adalah rancangan acak lengkap yang terdiri dari 7 perlakuan dan 5 ulangan. Perlakuan : 1) MD0 = tanpa pupk (kontrol), 2) MD1= pupuk kandang dosis 200 g/polybag, 3) MD2 = pupuk kandang dosis 400 g/polybag , 4) MD3 = pupuk guano dosis 200 g/polybag, 5) MD4 = pupuk guano dosis 400 g/polybag, 6) MD5 = pupuk kascing dosis 200 g/polybag, 7) MD6 = pupuk kascing dosis 400 g/polybag. Hasil penelitian menunjukkan bahwa : 1) penerapan macam dan dosis pupuk organik berpengaruh terhadap tinggi tanaman, jumlah daun, dan jumlah anakan, 2) penerapan macam dan dosis pupuk organik tidak berpengaruh terhadaap berat segar brangkasan, berat kering brangkasan, jumlah biji, berat biji, dan berat 100 biji, 3) macam dan dosis pupuk terbaik adalah MD2 (pupuk kandang dosis 400 g/polybag) karena dapat meningkatkan jumlah daun dan jumlah anakan.

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Siminoff, Laura A., Heather L. Rogers, and Sonja Harris-Haywood. "Missed Opportunities for the Diagnosis of Colorectal Cancer." BioMed Research International 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/285096.

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Objective. To examine patient and medical characteristics which predict a missed diagnostic opportunity (MDO) for colorectal cancer (CRC).Methods. The sample consisted of 252 patients diagnosed with Stages 1–4 CRC who were diagnosed in the prior six months, had experienced symptoms prior to diagnosis, and were not diagnosed through routine screening. Systematic review of all medical records prior to patients’ diagnosis was conducted. An MDO was defined as a clinical encounter where, even in the presence of presumptive CRC symptoms, the CRC diagnostic process is not started.Results. 92 patients (36.5%) experienced an MDO. Almost 80% of alternate diagnoses were other GI-GU diseases, including hemorrhoids and diverticulitis. Stomach pain, anemia, and constipation were the most common symptoms experienced by the MDO group. These symptoms, and weight loss and vomiting, were more likely to be noted in the charts of the MDO patients (P<0.04). Independent risk factors for MDO included age (<50) [OR = 2.29 (1.14–4.60),P=0.02] and female sex [OR = 2.19 (1.16–4.16),P=0.03]. Each additional physician seen, more than doubled the MDO risk [OR = 2.05 (1.53–2.74),P<0.001].Conclusions. Females, younger patients, and those consulting more physicians were all more likely to experience an MDO. Continued increased training of physicians to enhance knowledge of who is vulnerable to CRC is needed in addition to an increased focus to adherence to screening recommendations.

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Shi, Renhe, Teng Long, Nianhui Ye, Yufei Wu, Zhao Wei, and Zhenyu Liu. "Metamodel-based multidisciplinary design optimization methods for aerospace system." Astrodynamics 5, no. 3 (September 2021): 185–215. http://dx.doi.org/10.1007/s42064-021-0109-x.

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AbstractThe design of complex aerospace systems is a multidisciplinary design optimization (MDO) problem involving the interaction of multiple disciplines. However, because of the necessity of evaluating expensive black-box simulations, the enormous computational cost of solving MDO problems in aerospace systems has also become a problem in practice. To resolve this, metamodel-based design optimization techniques have been applied to MDO. With these methods, system models can be rapidly predicted using approximate metamodels to improve the optimization efficiency. This paper presents an overall survey of metamodel-based MDO for aerospace systems. From the perspective of aerospace system design, this paper introduces the fundamental methodology and technology of metamodel-based MDO, including aerospace system MDO problem formulation, metamodeling techniques, state-of-the-art metamodel-based multidisciplinary optimization strategies, and expensive black-box constraint-handling mechanisms. Moreover, various aerospace system examples are presented to illustrate the application of metamodel-based MDOs to practical engineering. The conclusions derived from this work are summarized in the final section of the paper. The survey results are expected to serve as guide and reference for designers involved in metamodel-based MDO in the field of aerospace engineering.

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Bell, Craig A., Guillaume G. Hedir, Rachel K. O'Reilly, and Andrew P. Dove. "Controlling the synthesis of degradable vinyl polymers by xanthate-mediated polymerization." Polymer Chemistry 6, no. 42 (2015): 7447–54. http://dx.doi.org/10.1039/c5py01156f.

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The copolymerization of vinyl acetate (VAc) and 2-methylene-1,3-dioxepane (MDO), as well as the homopolymerization of MDO in the presence of a p-methoxyphenyl xanthate chain transfer agent (CTA) is reported and comparison of the homopolymerization of MDO with other known xanthates was also investigated.

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Zhang, Daiyu, Baowei Song, Peng Wang, and Yanru He. "Performance Evaluation of MDO Architectures within a Variable Complexity Problem." Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/2759762.

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Though quite a number of multidisciplinary design optimization (MDO) architectures have been proposed for the optimal design of large-scale multidisciplinary systems, how their performance changes with the complexity of MDO problem varied is not well studied. In order to solve this problem, this paper presents a variable complexity problem which allows people to obtain a MDO problem with arbitrary complexity by specifying its changeable parameters, such as the number of disciplines and the numbers of design variables. Then four investigations are performed to evaluate how the performance of different MDO architectures changes with the number of disciplines, global variables, local variables, and coupling variables varied, respectively. Finally, the results supply guidance for the selection of MDO architectures in solving practical engineering problems with different complexity.

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Jiang, Ping, Jianzhuang Wang, Qi Zhou, and Xiaolin Zhang. "An Enhanced Analytical Target Cascading and Kriging Model Combined Approach for Multidisciplinary Design Optimization." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/685958.

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Multidisciplinary design optimization (MDO) has been applied widely in the design of complex engineering systems. To ease MDO problems, analytical target cascading (ATC) organizes MDO process into multilevels according to the components of engineering systems, which provides a promising way to deal with MDO problems. ATC adopts a coordination strategy to coordinate the couplings between two adjacent levels in the design optimization process; however, existing coordination strategies in ATC face the obstacles of complicated coordination process and heavy computation cost. In order to conquer this problem, a quadratic exterior penalty function (QEPF) based ATC (QEPF-ATC) approach is proposed, where QEPF is adopted as the coordination strategy. Moreover, approximate models are adopted widely to replace the expensive simulation models in MDO; a QEPF-ATC and Kriging model combined approach is further proposed to deal with MDO problems, owing to the comprehensive performance, high approximation accuracy, and robustness of Kriging model. Finally, the geometric programming and reducer design cases are given to validate the applicability and efficiency of the proposed approach.

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Wu, Bei Bei, and Hai Huang. "Multidisciplinary Optimization of Autonomous Rendezvous Spacecraft Using Updated Analytical Target Cascading Method." Applied Mechanics and Materials 195-196 (August 2012): 801–6. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.801.

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For the multidisciplinary design optimization (MDO) question of autonomous rendezvous spacecraft, first, the analysis model and coupling relations of payload, propulsion and structure discipline are discussed; then the updated analytical target cascading (UATC) method is introduced and compared with the widely used collaborative optimization (CO). Results prove that the UATC method requires 54.8% fewer average subspace iterations than the CO and is more efficient for practical engineering MDO problem. Finally, based on the UATC method, a MDO problem of autonomous rendezvous spacecraft is solved and gets reasonable and effective results. The process proves the effectiveness of UATC method solving spacecraft MDO problem.

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Yao, Xiling, Seung Ki Moon, and Guijun Bi. "Multidisciplinary design optimization to identify additive manufacturing resources in customized product development." Journal of Computational Design and Engineering 4, no. 2 (October 26, 2016): 131–42. http://dx.doi.org/10.1016/j.jcde.2016.10.001.

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Abstract Additive manufacturing (AM) techniques are ideal for producing customized products due to their high design flexibility. Despite the previous studies on specific additive manufactured customized products such as biomedical implants and prostheses, the simultaneous optimization of components, materials, AM processes, and dimensions remains a challenge. Multidisciplinary design optimization (MDO) is a research area of solving complex design problems involving multiple disciplines which usually interact with each other. The objective of this research is to formulate and solve an MDO problem in the development of additive manufactured products customized for various customers in different market segments. Three disciplines, i.e. the customer preference modeling, AM production costing, and structural mechanics are incorporated in the MDO problem. The optimal selections of components, materials, AM processes, and dimensional parameters are searched with the objectives to maximize the functionality utility, match individual customers' personal performance requirements, and minimize the total cost. A multi-objective genetic algorithm with the proposed chromosome encoding pattern is applied to solve the MDO problem. A case study of designing customized trans-tibial prostheses with additive manufactured components is presented to illustrate the proposed MDO method. Clusters of multi-dimensional Pareto-optimal design solutions are obtained from the MDO, showing trade-offs among the objectives. Appropriate design decision can be chosen from the clusters based on the manufacturer's market strategy. Highlights An optimization problem for additive manufactured customized products is solved. Three disciplines are incorporated in multidisciplinary design optimization (MDO). The selection of component, material, additive manufacturing process and dimensions are optimized. A multiobjective genetic algorithm is applied to solve the MDO problem. Pareto-optimal solutions with different utilities and costs are obtained.

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Pires, Aline Jéssica. "A influência espanhola na natureza lexical da marcação diferencial de objeto no português antigo." Working Papers em Linguística 22, no. 2 (April 14, 2022): 146–71. http://dx.doi.org/10.5007/1984-8420.2021.e76075.

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Casos em que o objeto direto é morfologicamente marcado por uma preposição são classificados como instâncias da Marcação Diferencial de Objeto (MDO). Além disso, a natureza lexical do objeto é apontada como um fator que desencadeia a MDO. Este artigo tem como objetivo investigar a natureza lexical dos objetos marcados e verificar sua relação com a hipótese da influência da língua espanhola na MDO no português antigo. Essa hipótese é motivada pelo aumento das ocorrências do fenômeno no século XVII. Entre 1580 e 1640, Portugal e Espanha formavam uma unidade política e, consequentemente, as línguas portuguesa e espanhola estavam em contato. Através da análise de textos dos séculos XVI ao XIX, a natureza lexical dos casos da MDO é investigada. Ademais, são comparados dados de objetos marcados e não marcados dos séculos XVI e XVII para verificar a extensão da influência espanhola nos objetos do português. A análise dos dados confirma a hipótese inicial com o aumento dos casos da MDO e mostra, também, que a MDO pode ser desencadeada por pronomes plenos, pronomes de tratamento, títulos de nobreza e certos DPs, como nomes de divindade e nomes próprios.

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Gantois, K., and A. J. Morris. "Incorporation of manufacturing information into an MDO environment." Aeronautical Journal 103, no. 1026 (August 1999): 383–88. http://dx.doi.org/10.1017/s0001924000064605.

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Abstract The Paper describes a metal and composite recurrent cost model of a large civil aircraft wing structure for a multidisciplinary design, analysis and optimisation (MDO) environment. The work was part of a recent European MDO project (BE95-2056) which investigated methods for the integration of structures, aerodynamics, dynamics and manufacturing cost at the preliminary design stage. The paper discusses the cost modelling approach, which is based on parametric and process cost model methods, and the integration of the cost models into an MDO process. Results for the cost models are shown. A framework has been successfully developed which allows the incorporation of manufacturing cost models into an MDO environment. It allows a designer to evaluate cost changes with respect to specific design changes such as rib pitch, stringer pitch, wing area and wing sweep.

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Ramirez-Garcia, Richard, Laura S. Humphries, and Russell R. Reid. "Alternative Factors Associated With Failure of Mandibular Distraction Osteogenesis." FACE 1, no. 1 (July 2020): 51–57. http://dx.doi.org/10.1177/2732501620949197.

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Introduction: Mandibular Distraction Osteogenesis (MDO) is an alternative to tracheostomy and works via lengthening the mandible in order to reduce glossoptosis and airway obstruction. While many patients who undergo mandibular distraction avoid the use of a tracheostomy, some patients will require re-distraction or tracheostomy, often due to recurrence of sleep apnea. This paper explores the potential factors that are associated with MDO failure, defined as requiring re-distraction or tracheostomy over other patients who succeed with the initial procedure. Methods: A retrospective review of all patients who had an obstructed airway, 0 to 18 years of age, and underwent MDO at a single institution from 2008 to 2019 was performed. Fisher’s exact analysis, log-rank analysis, and Kaplan-Meier estimates were used to identify associated factors to failure post-MDO. Results: Forty-five patients satisfied the inclusion criteria, of which 11 patients required re-distraction or tracheostomy post-MDO. Of the parameters assessed, postoperative complications and age >1 month were associated with increased odds of failure ( P < .05). Syndromic status trended toward significance as an associated factor ( P < .1). Tonsillectomy & adenoidectomy before initial MDO was associated with postoperative complications ( P < .05). Conclusion: Our retrospective analysis not only corroborates the results of others in regards to the natural association of postoperative complications and syndromic status with MDO failure, but also suggest that prior tonsillectomy & adenoidectomy, and age at surgery in our series may play a role as well.

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Ginting, Kuhita Karina Br, Selvia Sarungu, and Ari Susandy Sanjaya. "Optimasi Pembuatan Marine Diesel Oil (MDO) untuk Meningkatkan Profit Kilang Pertamina RU V Balikpapan." Jurnal Chemurgy 1, no. 2 (April 24, 2018): 22. http://dx.doi.org/10.30872/cmg.v1i2.1141.

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PT. PERTAMINA (Persero) RU V Balikpapan merupakan salah satu kilang yang mengolah minyak mentahmenjadi bahan bakar yang dapat dimanfaatkan oleh masyarakat sebagai bahan bakar transportasi laut danpabrik. Salah satu hasil produk di Kilang Balikpapan RU V ini adalah MDO (Marine Diesel Oil). Seiringdengan perkembangan teknologi alat industri dan transprotasi laut bermesin Diesel, faktor akanketersediaan MDO dirasa masih kurang. MDO tidak cukup hanya tersedia tanpa memperhatikan bagaimanakondisi dan kualitas dari MDO itu sendiri. Maka dari itu, untuk mengantisipasi kekurangan Bahan BakarMDO pada masa mendatang diharapkan suatu unit pengolahan harus dengan perhitungan yang cermat.Untuk itu peranan PT. PERTAMINA (Persero) RU V Balikpapan sangat dibutuhkan agar tercapainya haltersebut yaitu dengan memperhatikan komposisi blending yang digunakan. Dalam proses blendingpembuatan MDO sangat penting untuk mengetahui komposisi tiap komponen, sehingga pada penentuankomposisi pencampuran harus dilakukan secara cermat. Sebelum melakukan pencampuran skala besar,maka dilakukanlah penentuan titik optimal Blending yang bertujuan untuk mengetahui komposisi Blendingyang tepat dari masing-masing komponen MDO yang akan dipergunakan. Dapat diketahui bahwa MDOdapat di blending dengan 2 komponen ADO dan Short Residu atau 3 komponen ADO, Short Residu dan FluxOil. Setelah dilakukan perhitungan maka didapatkan hasil optimal dengan banyak komponen ADO 83 % danShort Residu 17 % dengan keuntungan 29352.5 USD.Kata Kunci : Blending, Marine Diesel Oil, Optimasi.

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Wang, W., Wen Hui Fan, T. Q. Chang, and G. L. Xiong. "Design Optimization Process of Complex Product Based on MDO." Applied Mechanics and Materials 10-12 (December 2007): 155–59. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.155.

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Complex products are integrated by many subsystems through complex couplings. It is fussy to do design optimization on complex product in traditional mode. In this paper, a new design optimization process is illustrated based MDO technology. First, the traditional design optimization process of complex product is analyzed. And then, the MDO techniques are introduced. Using the MDO techniques, we conclude a new design optimization process which can improve the efficiency and the steps of this process is illustrated.

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Shi, Yinfeng, and Seema Agarwal. "Thermally stable optically transparent copolymers of 2-methylene-1,3-dioxepane and N-phenyl maleimide with degradable ester linkages." e-Polymers 15, no. 4 (July 1, 2015): 217–26. http://dx.doi.org/10.1515/epoly-2015-0096.

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AbstractThe copolymers of 2-methylene-1,3-dioxepane (MDO) and N-phenyl maleimide (NPM) prepared by radical polymerization with high thermal stability, glass transition temperature and optical transparency are presented. The polymers made under specific reaction conditions, i.e., 120°C and high amounts of MDO, had degradable ester units, which were formed via radical ring-opening polymerization of MDO. The formation of charge-transfer complex between MDO and NPM also led to the formation of high-molar-mass copolymers by simple mixing and heating of monomers without the use of any initiator. Structural characterization of the copolymers including mechanistic studies was carried out using nuclear magnetic resonance spectroscopy, and their thermal properties were studied using differential scanning calorimetry and thermogravimetric analysis.

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Hybler, Jiří. "Cronstedtite-6T2, a non-MDO polytype." Acta Crystallographica Section A Foundations and Advances 72, a1 (August 28, 2016): s264—s265. http://dx.doi.org/10.1107/s205327331609598x.

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Tosserams, S., L. F. P. Etman, and J. E. Rooda. "A micro-accelerometer MDO benchmark problem." Structural and Multidisciplinary Optimization 41, no. 2 (September 25, 2009): 255–75. http://dx.doi.org/10.1007/s00158-009-0422-0.

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Wood, Haynes, Peter Mardahl, David French, Brad Hoff, and Kyle Hendricks. "Controllable Axial Overmoding in an MDO." IEEE Transactions on Plasma Science 40, no. 8 (August 2012): 2094–98. http://dx.doi.org/10.1109/tps.2012.2199137.

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Sun, Xiaojian, Jianquan Ge, Tao Yang, Qiangqiang Xu, and Bin Zhang. "Multifidelity Multidisciplinary Design Optimization of Integral Solid Propellant Ramjet Supersonic Cruise Vehicles." International Journal of Aerospace Engineering 2019 (April 28, 2019): 1–18. http://dx.doi.org/10.1155/2019/5192424.

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Integral solid propellant ramjet (ISPR) supersonic cruise vehicles share the characteristic that they are highly integrated configurations. The traditional design of vehicles cannot achieve a balance between computational expense and accuracy. A multifidelity multidisciplinary design optimization (MDO) platform has been developed in this study. The focus of the platform is on ISPR supersonic cruise vehicles. Firstly, codes of discipline with different levels of fidelity (LoF) were established, such as geometry, aerodynamics, radar cross-section calculations, propulsion, mass, and trajectory discipline codes. Secondly, two MDO frameworks were constructed through discipline codes. A low LoF MDO framework is suitable for conceptual design, and a medium LoF MDO framework is suitable for preliminary design. Finally, taking the optimization problem with the minimum overall detection probability of flight trajectory as an example, the low LoF framework first explores the entire design space to achieve the mission requirements, and then, the medium LoF MDO framework accepts the low LoF framework optimization parameters. Hence, the optimization target is reached with more detailed parameters and higher fidelity. Additionally, an example for a solid propellant missile with minimum total mass is tested by the platform. The study results show that the multifidelity MDO framework not only exploits interactions between the disciplines but also improves the accuracy of optimization results and reduces the iteration time.

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Jiang, Ping, Qi Zhou, Xinyu Shao, Ren Long, and Hui Zhou. "A modified BLISCO method and its combination with variable fidelity metamodel for engineering design." Engineering Computations 33, no. 5 (July 4, 2016): 1353–77. http://dx.doi.org/10.1108/ec-06-2015-0164.

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Purpose – The purpose of this paper is to present a modified bi-level integrated system collaborative optimization (BLISCO) to avoid the non-separability of the original BLISCO. Besides, to mitigate the computational burden caused by expensive simulation codes and employ both efficiently simplified and expensively detailed information in multidisciplinary design optimization (MDO), an effective framework combining variable fidelity metamodels (VFM) and modified BLISCO (MBLISCO) (VFM-MBLISCO) is proposed. Design/methodology/approach – The concept of the quasi-separable MDO problems is introduced to limit range of applicability about the BLISCO method and then based on the quasi-separable MDO form, the modification of BLISCO method without any derivatives is presented to solve the problems of BLISCO. Besides, an effective framework combining VFM-MBLISCO is presented. Findings – One mathematical problem conforms to the quasi-separable MDO form is tested and the overall results illustrate the feasibility and robustness of the MBLISCO. The design of a Small Waterplane Area Twin Hull catamaran demonstrates that the proposed VFM-MBLISCO framework is a feasible and efficient design methodology in support of design of engineering products. Practical implications – The proposed approach exhibits great capability for MDO problems with tremendous computational costs. Originality/value – A MBLISCO is proposed which can avoid the non-separability of the original BLISCO and an effective framework combining VFM-MBLISCO is presented to efficiently integrate the different fidelities information in MDO.

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Chen, Wendy, Jack Brooker, Joshua Barnett, Justine Kim, Madeleine K. Bruce, Miles J. Pfaff, Jesse A. Goldstein, Joseph Losee, and Lindsay A. Schuster. "Pediatric Mandibular Distraction Osteogenesis and Long-Term Dental Morbidity: A Clinical Evaluation and Review of the Literature." FACE 2, no. 3 (June 22, 2021): 275–80. http://dx.doi.org/10.1177/27325016211026331.

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Objectives: Pediatric mandibular distraction osteogenesis (MDO) is an increasingly common surgical procedure used to lengthen the mandible. Little is known about the long-term effects of MDO on dental development. This retrospective study sought to identify dental abnormalities at mixed dentition and early permanent dentition stages in patients who had undergone MDO. Methods: All pediatric patients who underwent MDO with imaging and clinical exams at mixed dentition and early permanent dentition stages were evaluated identify pathology. Data included demographic information, medical and surgical history, complications, and dental exam information. Descriptive statistics were reported. Results: Twenty-two hemimandibles at mixed dentition stage and 24 at early permanent stage were included. Mean age at initial MDO was 7.95 years with a mean follow-up time of 15.1 years. Nine patients required more than 1 distraction. At the mixed dentition stage, all patients showed abnormalities. The most common abnormalities were absent, dysplastic, or ectopic molars. At early permanent dentition stage, 87.5% of patients had dental abnormalities. The most common abnormality was missing molars (third, second, and first), but dysplastic, impacted, and ectopic teeth were also noted. At both mixed and early permanent dentition stages, some patients were noted to have abnormal V-shaped sigmoid notching of the mandibular ramus of undetermined clinical significance. Buccal mucosal scarring that interfered with orthodontic treatment was observed in a subset of patients. Conclusions: This study provides long-term dental analyses of patients undergoing MDO for mandibular hypoplasia. Dental abnormalities were seen at both mixed and early permanent dentition stages. Molars were the most commonly affected with absence the most commonly seen abnormality. Dysplastic, ectopic, and impacted teeth were also seen in posterior and anterior dentition, and abnormalities in buccal soft tissue and the mandibular ramus were also seen. MDO remains a crucial tool for functional and aesthetic improvement in children with hypoplastic mandibles. Dental abnormalities as a consequence of MDO should be considered as part of surgical planning process.

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Gould, A. R. B. "Automated surface shape optimisation in the MDO project." Aeronautical Journal 103, no. 1026 (August 1999): 363–72. http://dx.doi.org/10.1017/s0001924000064587.

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Abstract Surface shape optimisation was one of several topics researched under the multi-disciplinary optimisation (MDO) project. Several project partners participated in this activity which set out to develop, validate and demonstrate a number of technical issues related to automated shape design. Each of the participants brought together in-house and/or commercial analysis tools, a variety of different modelling and optimisation techniques, and common database and model generation methods. The objectives of this work were to validate the methodologies established in the preliminary MDO project phase and to demonstrate the optimisation process when applied to a simplified civil aircraft wing design problem. Several issues were central to the investigation, including alternative means of parametric descriptions for the wing surface shape, alternative optimisation strategies for wing MDO, and the impact of different levels of physical and geometrical modelling on MDO performance and resulting product optima. The outcomes of this work demonstrate the need for advanced analysis tools to be incorporated into aerospace vehicle design problems at a relatively early stage and highlight the dangers of over-simplification of the vehicle model.

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Zhao, Yun Peng, and Nan Li. "Research of Technology and Application of MDO Development." Advanced Materials Research 538-541 (June 2012): 2822–28. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.2822.

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In west DEMS areas of aerospace, MDO (Multidisciplinary Design Optimization) was the latest and most active design methods in recent years. Its main thinking is that: using DCNT (Distributed Computer Network Technology) to integrate knowledge of all subjects; using effective design optimization strategy to organize and manage of the design process. Its objective is to get the overall optimal solution by using the interaction and synergy between all subjections; to shorten the cycle by implementing of the parallel design. So that the developed the product would be more competitive. This thesis researched MDO development situation of home and aboard from three parts: Techniques and Methods、Integrated Framework software and Application for getting some inspiration how to research MDO now.

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Papageorgiou, Athanasios, Anton Wiberg, and Johan Persson. "INTRODUCING MULTIDISCIPLINARY DESIGN OPTIMIZATION TO GRADUATE LEVEL ENGINEERING STUDENTS." Proceedings of the Design Society 1 (July 27, 2021): 1917–26. http://dx.doi.org/10.1017/pds.2021.453.

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AbstractMultidisciplinary Design Optimization (MDO) is a method that has shown many promising results in the development of complex engineered products. To this date, research on MDO has been extensive, but at the same time, very few publications have addressed the aspect of how it can be taught to students and young professionals. In this light, this paper aims to present the experiences of the authors in respect to the development and management of an MDO course at Linköping University. First, this work will describe the authors' teaching approaches, and in particular, it will present the various educational activities that have been considered over the years as well as the lessons learnt. Secondly, this work will attempt to investigate how students perceive a set of common MDO concepts, and more specifically, it will present an analysis based on the results of two surveys that took place in 2016 and 2020, respectively. Given the above foundation, this paper will try to establish guidelines regarding the activities which are suitable for teaching each concept, while finally, it will also touch upon the challenges as well as the solutions for adjusting an MDO course to a distance learning mode.

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Li, Lei, Zhen Zhou Lv, Liang Bo Ao, Ming Yu, and Zhu Feng Yue. "Application of Multidisciplinary Design Optimization Based on Approximation Model to Marine Supercharger Turbo." Advanced Materials Research 139-141 (October 2010): 1396–99. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1396.

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In this paper, the multidisciplinary design optimization based on Approximation Model for supercharge turbo is studied. Temperature and pressure loads are transferred to the solid model by distance-weighted function, and structure deformation is transferred to aerodynamic model by mesh regenerated method in order to avoid mesh aberration. The Multidisciplinary analysis (MDA) model of supercharge turbo considering aerodynamic, heat transfer, strength and vibration is obtained on the basis of information transferring, which is solved by iterated three times. The Kriging Approximation Model which fits the sample space accurately is employed in the MDO process to reduce computational cost. Results show that performance of supercharge turbo is improvement on the MDO system based on Approximation Model, meanwhile the computational time of the optimization system is saved. Also, this method is suitable for other Multidisciplinary Design Optimization problems.

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Xia, Qing, Man Li, Zong Jie Cao, and Hong Wei Wang. "The Study of Reliability in MDO of Aircraft." Applied Mechanics and Materials 226-228 (November 2012): 598–601. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.598.

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MDO and reliability design are independently processed in the traditional aircraft design. The designs process is thus consuming compute intensive, so that integrated design of MDO and reliability is required. To achieve the integration, there are two problems needed to be solved. First, a reliability function needs to be expressed by performance design parameters in a probability form. Second, the reliability function needs to be imported into MDO arithmetic. For the first one, stress-strength interference theory is useful. According to the theory, performance design parameters are described in the formulas which calculate probability of reliability. For the second, the reliability function is considered as a part of optimization objective functions or as a constraint function. The simulation of aircraft design shows that the above method is useful and effective to the actual project.

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Flack, Nathaniel, Alan Lin, Gilbert Peterson, and Mark Reith. "Battlespace Next(TM)." International Journal of Serious Games 7, no. 2 (June 1, 2020): 49–70. http://dx.doi.org/10.17083/ijsg.v7i2.349.

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Changes in the geopolitical landscape and increasing technological complexity have prompted the U.S. Military to coin the terms Multi-Domain Operations (MDO) and Joint All-Domain Command and Control (JADC2) as over-arching strategy to frame the complexity of warfare across both traditional and emerging warfighting domains. Teaching new concepts associated with these terms requires both innovation as well as distinct education and training tools in order to realize the cultural change advocated by senior military leaders. Battlespace NextTM (BSN) is a serious game designed to teach concepts integral to MDO and initiate discussion on military strategy while conserving time, money, and manpower. BSN, a Collectable Card Game (CCG), is engineered to provide an engaging learning tool that educates on capabilities in a multi-domain conflict. This paper proposes an extensible game framework for modeling and reasoning about MDO concepts and presents our empirical feedback from over 120 military play testers evaluating a moderate to difficult version of the game. Results reveal the game teaches MDO concepts and delivers an engaging, hands-on learning experience. Specifically, we provide evidence it improved military readiness in seven areas of MDO in at least 62% of participants and 76% of respondents reported they enjoyed playing the game.

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Mcharek, Mehdi, Toufik Azib, Moncef Hammadi, Cherif Larouci, and Jean-Yves Choley. "Multidisciplinary design optimization using knowledge management applied to an electronic throttle." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, no. 2 (January 27, 2020): 353–62. http://dx.doi.org/10.1108/compel-06-2019-0237.

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Purpose Within the current industrial context, companies aim to decrease the design process time and cost. The multidisciplinary design optimization (MDO) appears as a solution to accelerate the process and support designers in different stages of the design cycle. However, this relatively new concept needs to be integrated efficiently in the industrial environment and issues related to collaboration, data management, traceability and reuse need to be overcome. Design/methodology/approach The aim of this work is to efficiently integrate the MDO in the industrial design cycle by means of knowledge management (KM) techniques. To take into account the industrial environment, the methodology was applied in a collaborative software. Findings An example of collaborative design and optimization of an electronic throttle body (ETB) controller is presented with industrial requirements. The design problem was solved successfully and demonstrates the efficiency of the methodology in collaborative environments. Originality/value The contributions of this work lie in the structuration of the knowledge to support MDO and the definition of a general way to connect the existent MDO tools to the knowledge base. This methodology will enable to freely link different steps of the design process and reduce considerably the setting time of MDO in industries.

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Lee, Minuk, Su-gil Cho, Jong-Su Choi, Hyung-Woo Kim, Sup Hong, and Tae Hee Lee. "Metamodel-Based Multidisciplinary Design Optimization of a Deep-Sea Manganese Nodules Test Miner." Journal of Applied Mathematics 2012 (2012): 1–18. http://dx.doi.org/10.1155/2012/326954.

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A deep-sea manganese nodules test miner has not only coupled relationship between system components but also various design requirements of each system to meet the specified multitasks. To accomplish the multiobjectives of complex systems, multidisciplinary design optimization (MDO) is performed. Metamodels such as the kriging model and the response surface model are employed to reduce computational costs for MDO and to integrate component systems in a design framework. After verifying the accuracy of each metamodel, metamodel-based MDO for a deep-ocean test miner is formulated and performed. Finally, results and advantages of the proposed design methodology are discussed.

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Giannella, Venanzio, Riccardo Lombardi, Matteo Maria Pisani, Luigi Federico, Mattia Barbarino, and Roberto Citarella. "A Novel Optimization Framework to Replicate the Vibro-Acoustics Response of an Aircraft Fuselage." Applied Sciences 10, no. 7 (April 3, 2020): 2473. http://dx.doi.org/10.3390/app10072473.

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In this work, a novel optimization framework, based on a Multi-Disciplinary Optimization (MDO) procedure, applied to the vibro-acoustic Finite Element Method (FEM) model of an aircraft fuselage mock-up, is proposed. The MDO procedure, based on an Efficient Global Optimization (EGO)-like approach, is implemented to characterize acoustic sources that replicate the sound pressure field generated by the engines on the fuselage. A realistic sound pressure field, evaluated by aeroacoustic simulations, was considered as the reference acoustic load, whereas two equivalent sound fields, displayed by two different arrays of microphones and generated by the same configuration of monopoles, were calculated by the proposed vibro-acoustic FEM-MDO procedure. The proposed FEM-MDO framework enables to set up ground experimental tests on aircraft components, useful to replicate their vibro-acoustic performances as if tested in flight. More in general, such a procedure can also be used as a reference tool to design simplified tests starting from more complex ones.

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Chen, Jianjiang, Yifang Zhong, Renbin Xiao, and Jianxun Sun. "The research of the decomposition‐coordination method of multidisciplinary collaboration design optimization." Engineering Computations 22, no. 3 (April 1, 2005): 274–85. http://dx.doi.org/10.1108/02644400510588085.

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PurposeTo obtain the global optimum of large‐scale complex engineering systems, the paper proposes a decomposition‐coordination method of multidisciplinary design optimization (MDO).Design/methodology/approachA rational decomposition approach based on artificial neural network (ANN) and genetic algorithms is proposed for partitioning the complex design problem into smaller, more tractable subsystems. Once the problem is decomposed into subsystems, each subsystem may be solved in parallel provided that there is some mechanism to coordinate the solutions in the different subsystems. So the response surface approximation model based on the ANN as a coordination method is described and a MDO framework is presented.FindingsThe proposed method was implemented in the design of a tactical missile. Numerical results show the effectiveness of the decomposition‐coordination method, as indicated by both better performance and lower computational requirements.Originality/valueThis paper adopts a novel MDO method to solve complex engineering problem and offers a potential and efficient MDO framework to researchers.

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Cohen, Andrea, and Nigel Eastman. "Needs assessment for mentally disordered offenders and others requiring similar services." British Journal of Psychiatry 171, no. 5 (November 1997): 412–16. http://dx.doi.org/10.1192/bjp.171.5.412.

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BackgroundThe government has highlighted the service needs of mentally disordered offenders (MDOs) and has introduced policies which have driven MDO needs assessment.MethodBased on a literature review and a national survey of agencies likely to be conducting needs assessment, the paper reviews government policy regarding MDO needs assessment and examines the particular problems of conducting needs assessment for MDOs.ResultsA methodological framework for MDO needs assessment is presented, and different needs assessment approaches are discussed. The methodological and practical limitations of conducting MDO needs assessment are emphasised, as is the role of subjective judgement in both research design and interpretation.ConclusionsNeeds assessment is value-laden. Also, no single needs assessment approach can address all the issues of importance to purchasers and providers. Substituting the term ‘perspectives on need’ for the term needs assessment would help to reflect the lack of a single ‘truth’ about need and emphasise the role of subjective political judgement in designing and interpreting research on ‘need’.

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Mo, Qiu Yun, Fei Deng, Shuai Shuai Li, and Ke Yan Zhang. "Multidisciplinary Design Optimization for Small Vertical Wind Turbine Design." Applied Mechanics and Materials 571-572 (June 2014): 1083–86. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1083.

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Multidisciplinary design optimization (MDO) represents the development direction of complex products design theory and method, it shows a huge advantage in solving complex optimization problems in engineering applications, for example product design. This paper briefly analyzes some existing problems of small vertical wind turbine, and puts forward using the theory of MDO in small vertical wind turbine structural optimization. Then,the paper analyzes and points out the key technology of using MDO theory to optimize small vertical wind turbine, and provides a new train of thought for further in-depth study of small vertical wind turbine to improve the overall performance of the small vertical wind turbine products.

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Park, Chang-Kyu. "Study on an Approximation Technique using MDO." Journal of the Korea Academia-Industrial cooperation Society 16, no. 6 (June 30, 2015): 3661–66. http://dx.doi.org/10.5762/kais.2015.16.6.3661.

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Park, Hyeong-Uk, Jae-Woo Lee, Joon Chung, and Kamran Behdinan. "Uncertainty-based MDO for aircraft conceptual design." Aircraft Engineering and Aerospace Technology 87, no. 4 (July 6, 2015): 345–56. http://dx.doi.org/10.1108/aeat-07-2013-0128.

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Alexandru-Iulian, ONEL, AFILIPOAE Tudorel-Petronel, NECULAESCU Ana-Maria, and PRICOP Mihai-Victor. "MDO approach for a two-stage microlauncher." INCAS BULLETIN 10, no. 3 (September 10, 2018): 127–38. http://dx.doi.org/10.13111/2066-8201.2018.10.3.11.

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Tabatabaei, Seyed H., Pierre J. Carreau, and Abdellah Ajji. "Structure and properties of MDO stretched polypropylene." Polymer 50, no. 16 (July 2009): 3981–89. http://dx.doi.org/10.1016/j.polymer.2009.06.059.

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Fazzolari, Antonio, Nicolas R. Gauger, and Joël Brezillon. "Efficient aerodynamic shape optimization in MDO context." Journal of Computational and Applied Mathematics 203, no. 2 (June 2007): 548–60. http://dx.doi.org/10.1016/j.cam.2006.04.013.

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Yi, S. I., J. K. Shin, and G. J. Park. "Comparison of MDO methods with mathematical examples." Structural and Multidisciplinary Optimization 35, no. 5 (July 18, 2007): 391–402. http://dx.doi.org/10.1007/s00158-007-0150-2.

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Fazzolari, Antonio, Nicolas R. Gauger, and Jöel Brezillon. "Efficient Aerodynamic Shape Optimization in MDO Context." PAMM 5, no. 1 (December 2005): 739–40. http://dx.doi.org/10.1002/pamm.200510344.

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Ding, Wei Tao, Lin Xue An, Chun Ming Wang, Yu Ping Huang, Teng Long, and Meng Long Jiang. "Multidisciplinary Integrated Simulation and Design Optimization Framework for Electromechanical Servo System." Applied Mechanics and Materials 704 (December 2014): 263–69. http://dx.doi.org/10.4028/www.scientific.net/amm.704.263.

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This paper presents a tailored multidisciplinary integrated simulation and design optimization framework for electromechanical servo system (MISDOF-EMSS). The work intends to develop flexible integrated simulation techniques and efficient MDO methods to design advanced electromechanical servo systems in modern industries in a more effective and efficient manner. The proposed framework was developed based on ModelCenter commercial MDO framework because of its opening architecture for process integration and algorithm extension. The hardware and software configurations of MISDOF-EMSS were introduced at first in terms of the application requirements. Parametric geometry modeling toolkit was developed based on Pro-E, which provides the unique geometry source to link various disciplinary simulations. All the disciplinary analysis models were implemented in batch mode using automation techniques, and then seamlessly integrated in MISDOF-EMSS by using ModelCenter’s Filewrapper protocol. Advanced MDO methods including optimization algorithms, surrogate modeling techniques, MDO strategies are implemented in MISDOF-EMSS using Plug-in interface, VB script and Marco in ModelCenter. Finally, an application case of permanent magnet synchronous motor (PMSM) optimization was performed to verify the practicability and applicability of the proposed MISDOF-EMSS.

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Journal articles on the topic 'MDO'

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