Relevant bibliographies by topics / Machine-tool construction

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Machine-tool construction'

Author: Grafiati
Published: 28 June 2021
Last updated: 29 May 2022

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Journal articles on the topic "Machine-tool construction"

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Zhang, Yi, Wanlu Chen, Suqin Dou, Panpan Li, Hai Gu, and Ren-E. Dong. "Constructing Machine Tool Foundations Using an LMP Alloy." Materials 13, no. 7 (April 2, 2020): 1649. http://dx.doi.org/10.3390/ma13071649.

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Currently, the construction of machine tool foundations is a complicated and lengthy procedure with a limited flexibility. In this paper, we present a novel system for constructing machine tool foundations that replaces the need for concrete or concrete-polymer hybrids with a low melting point (LMP) alloy. The system uses a hot bath method to maintain the LMP alloy grouting in liquid form. A fixing device is used to control the embedded depth and positional accuracy of the foundation bolt assembly. The grouting material is injected into the foundation pit by a filling device. This can be extracted from the foundation pit in a later stage with the aid of a recycling device, enabling new machine tool foundations to be manufactured by reusing the LMP alloy grouting material. A prototype was built to test the proposed design. The results show that the system can construct machine tool foundations in a single application, without the delays associated with concrete-based construction, lowering both the economic and environmental cost.
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Kiss, Lotár László, and György Takács. "Additive metal printing machine tool." Design of Machines and Structures 11, no. 1 (2021): 39–45. http://dx.doi.org/10.32972/dms.2021.005.

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The 3D printing, as a modern manufacturing method, is becoming more widespread and overrides the usual industry conventions. While it was mainly known in the production of plastic parts, nowadays metal-based versions are also becoming more widespread. Reputable machine tool manufacturers such as DMG Mori or GE compete with each other to create equipment for this technology for the industry, where there is a growing market for such machines. My article seeks to answer the question of where these tools have a place in the industry, whether they can be considered as machine tools, and decide that the procedures describing the construction of machine tools could be applied to them.
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Boral, Piotr, Tadeusz Nieszporek, and Rafał Gołębski. "The welded CNC machine tool frame." MATEC Web of Conferences 157 (2018): 01003. http://dx.doi.org/10.1051/matecconf/201815701003.

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Machine tools are built based on cast-iron bodies. Cast iron well dumps down vibrations and is dimensionally stable. Therefore, many conventional machine tools are modernized and modified into CNC machine tools based on the seasoned old bodies of those machine tools. Nevertheless, CNC machine tools are also manufactured based on polymer concrete, which vibration damping ability is even better. On the other hand, attempts made in the past by leading machine tool manufacturers to use welded frames in CNC machine tools failed. The revival of interest in welded frames was spurred by economic considerations, as steel systems are much thinner compared to cast-iron ones. They are able to carry the same loads. The construction of CNC machine tools with a welded steel frame undertaken at the Institute of Mechanical Technologies (ITM) of the Czestochowa University of Technology is an attempt to solve this constructional problem. The machine tool frame was designed with use of CAD solid works system. The ultimate success of using the welded frame is determined not only by the frame itself, but also generally the design of the machine tool and its operation parameters. The welded frame was used for a high-accuracy three-axis milling machine. In this respect, it is equal of professional machine tools manufactured by reputed companies. It can be either a production machine tool or a test stand.
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Imam, Dr Saif. "Design, Construction and Application of Synchronous Operation Machine Tool." International Journal of Innovative Research in Science, Engineering and Technology 5, no. 7 (July 15, 2016): 12154–62. http://dx.doi.org/10.15680/ijirset.2016.0507018.

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KAWAMURA, Hiroshi, Hirohisa NARITA, Lianyi CHEN, and Hideo FUJIMOTO. "Construction of environmental impact prediction for a machine tool." Proceedings of the JSME annual meeting 2003.7 (2003): 329–30. http://dx.doi.org/10.1299/jsmemecjo.2003.7.0_329.

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Baurina, S. B., and E. O. Savchenko. "Current technological trends In the development of machine-tool Construction in Russia." Vestnik of the Plekhanov Russian University of Economics, no. 2 (April 22, 2019): 81–92. http://dx.doi.org/10.21686/2413-2829-2019-2-81-92.

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As machine-tool construction is considered to be an indicator of mechanical engineering development and progress of this industry can show the development of the country industrial potential, the topic of the article could be of great academic interest. The goal of the article is to study current technological trends of developing machine-tool construction in Russia. The authors provide information about industrial output on the market of machine-tool construction; characterize today’s level of technological, social and economic development in machine-tool construction of the country, identify system problems and specific features of Russian machine-tool construction, such as institutional conditions, home demand, access to technologies, etc. Apart from that the article shows reasons for the low level of innovation activity among manufacturers of machines and equipment, provides information about the latest projects of Russian enterprises of the industry, compares machine-tool construction in different countries, such as China, Japan, Germany, the US and Russia. Priorities of state policy in the field of machine-tool construction in Russia were identified: toguarantee leading positions for Russian companies on home market, ensure technological security. The authors showed priority lines in technological development of machine-tool construction in the Russian Federation for the future, for instance, introduction of product and technological innovation, development of competences in manufacturing competitive spare parts and tools on the territory of the Russian Federation, promotion of organizational innovation in respect of upgrading production automation (roboto-technique and the internet of things). Materials of the article can have practical importance for executives and experts of companies for the developjment of strategies and making reviews and reports and for state bodies to work out recommendations dealing with industrial policy of the Russian Federation.
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Tai Lijun, Hu Rufu, and Chen Caowei. "Machine Tool Processing Flexible Unit Construction under Cloud Manufacturing Environment." International Journal of Digital Content Technology and its Applications 7, no. 2 (January 31, 2013): 541–48. http://dx.doi.org/10.4156/jdcta.vol7.issue2.66.

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Zhao, Jian, Xue Wu Hong, Ming Yu, Zhi Peng Gao, and Wen Jin Wang. "Weak-Points Diagnosis and Optimization of Shield Machine Cutter Tool Based on Characteristic Parameters." Key Engineering Materials 693 (May 2016): 1479–85. http://dx.doi.org/10.4028/www.scientific.net/kem.693.1479.

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Shield machine plays an indispensable role in the mining, transportation, underground engineering, hydraulic engineering and municipal construction. Shield cutters of shield construction process often appears serious deformation, damage that leads to engineering accident, or even a threat to human life and safety. In order to provide high precise data for shield machine cutter tool dynamic modification and to diagnose the shield machine cutter tool fault, the dynamic characteristic of the shield machine cutter tool system, which is the main component of a shield machine cutter tool, has to be obtained precisely. The compute modal parameters identification method base on the finite element method is proposed to identify the modal parameters of the shield machine cutter tool. By means of Solidwords software, the knife ring structure of the shield machine tool and the tool is designed; then build the tool the finite element model, modal analysis, obtained the dynamic characteristics, and find out the weak link, put forward the improvement measures and prolong its life. Therefore, the study on dynamic characteristics of shield machine cutter, for the optimization design of domestic tool, has an important significance improve tool life.
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Powałka, Bartosz, and Michał Dolata. "Development of a computational model of a lightweight vertical lathe with the use of superelements." Archives of Mechanical Technology and Materials 39, no. 1 (January 1, 2019): 1–6. http://dx.doi.org/10.2478/amtm-2019-0001.

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Abstract This article presents a process of developing a computational model of a light construction vertical lathe. The model is made using the finite elements method. Due to the complexity of the machine tool and the optimization of the computation time superelements have been used in the model. The application of this method has reduced the computation time allowing the analysis of many variants of the mutual position of the machine components. The results of the analyzes led to the indication of weak links of the machine tool. After the improvement of the machine tool construction the movement of the tool tip and the workpiece was much smaller.
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Bartenev, I. M., and M. V. Shavkov. "A new construction of tree-planting machine." Traktory i sel hozmashiny 79, no. 6 (June 15, 2012): 22–24. http://dx.doi.org/10.17816/0321-4443-69362.

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A new construction of tree-planting machine ensuring the high quality of planting and high survival index was developed. The use of combined ploughshare and belt planter apparatus is a distinctive feature of this tool.
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Dissertations / Theses on the topic "Machine-tool construction"

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Parkinson, Simon. "Construction of machine tool calibration plans using domain-independent automated planning." Thesis, University of Huddersfield, 2014. http://eprints.hud.ac.uk/id/eprint/20329/.

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The evolution in precision manufacturing has resulted in the requirement to produce and maintain more accurate machine tools. This new requirement coupled with desire to reduce machine tool downtime places emphasis on the calibration procedure during which the machine's capabilities are assessed. Machine tool downtime can be as much as $120 per hour and is significant for manufacturers because the machine will be unavailable for manufacturing use, therefore wasting the manufacturer's time and potentially increasing lead-times for clients. In addition to machine tool downtime, the uncertainty of measurement, due to the schedule of the calibration plan, has significant implications on tolerance conformance, resulting in an increased possibility of false acceptance and rejection of machined parts. Currently calibrations are planned based on expert knowledge and there are no intelligent tools aiding to produce optimal calibration plans. This thesis describes a method of intelligently constructing calibration plans, optimising to reduce machine tool downtime and the estimated uncertainty of measurement due to the plan schedule. This resulted in the production of a novel, extensible domain model that encodes the decision making capabilities of a subject expert. Encoding the knowledge in PDDL2 requires the discretization of non-linear resources, such as continuous temperature change. Empirical analysis has shown that when this model is used alongside state-of-the-art automated planning tools, it is possible to achieve a reduction in machine tool downtime greater than 10% (12:30 to 11:18) over expert generated plans. In addition, the estimated uncertainty due to the schedule of the plan can be reduced by 59% (48 µm to 20 µm). Further experiments on a PC architecture investigate the trade-o� when optimising calibration plans for both time and the uncertainty of measurement. These experiments demonstrated that it is possible to optimise both metrics reaching a compromise that is on average 5% worse that the best-known solution for each individual metric. Additional experiments using a High Performance Computing architecture show that on average optimality of calibration plans can be improved by 4%; a potential saving of 30 minutes for a single machine and 10 hours for a company with 20 machines tools. This could incur a financial saving in excess of $1200 saving.
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Goteti, Aniruddh. "Machine Learning Approach to the Design of Autonomous Construction Equipment applying Data-Driven Decision Support Tool." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17635.

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Design engineers working in construction machinery industry face a lot of complexities and uncertainties while taking important decisions during the design of construction equipment. These complexities can be reduced by the implementation of a data-driven decision support tool, which can predict the behaviour of the machine in operational complexity and give some valuable insights to the design engineer. This data-driven decision support tool must be supported by a suitable machine algorithm. The focus of this thesis is to find a suitable machine algorithm, which can predict the behaviour of a machine and can later be involved in the development of such data-driven decision-support tools. In finding such a solution, evaluation of the regression performance of four supervised machine learning regression algorithms, namely SupportVector Machine Regression, Bayesian Ridge Regression, DecisionTree Regression and Random Forest Regression, is done. The evaluation was done on the data-sets personally observed/collected at the site which was extracted from the autonomous construction machine byProduct Development Research Lab (P.D.R.L). An experiment is chosen as a research methodology based on the quantitative format of the data set. The sensor data extracted from the autonomous machine in time series format, which in turn is converted to supervised data with the help of the sliding window method. The four chosen algorithms are then trained on the mentioned data-sets and are evaluated with certain performance metrics (MSE, RMSE, MAE, Training Time). Based on the rigorous data collection, experimentation and analysis, Bayesian Ridge Regressor is found to be the best compared with other algorithms in terms of all performance metrics and is chosen as the optimal algorithm to be used in the development of data-driven decision support tool meant for design engineers working in the construction industry.
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Кравченко, В. В., Аліна Геннадіївна Бухтіарова, Алина Геннадьевна Бухтиарова, and Alina Hennadiivna Bukhtiarova. "Проблеми розвитку підприємств машинобудівної галузі в Україні." Thesis, Сумський державний університет, 2019. https://essuir.sumdu.edu.ua/handle/123456789/77580.

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Основою технічного переоснащення економіки України є машинобудування. Зараз вітчизняне машинобудування сильно відстає від рівня розвитку цієї галузі у більшості країн світу. Основними причинами відставання є знос обладнання, низька рентабельність, низька інноваційна активність, відсутність фінансування та інвестицій тощо. Продукцію, виготовлену машинобудівними підприємствами, залежно від ринку, на який вона орієнтована, можна поділити умовно на такі групи: важке машинобудування, тракторне та сільськогосподарське машинобудування, залізнична техніка, автомобільна промисловість, електротехніка, приладобудування та верстатобудування.
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Дегтярьов, Іван Михайлович, Иван Михайлович Дегтярев, Ivan Mykhailovych Dehtiarov, Віталій Олександрович Іванов, Виталий Александрович Иванов, Vitalii Oleksandrovych Ivanov, and І. О. Криводуд. "Аналіз технологічних можливостей сучасних свердлильно-фрезерно-розточувальних верстатів." Thesis, Сумський державний університет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/39644.

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У даний час, в умовах швидкого впровадження інноваційних технологій у машинобудуванні, використання металорізального обладнання, яке відповідає сучасним стандартам, є невід’ємною частиною кожного машинобудівного підприємства. Раціональний вибір верстатів та їх ефективне використання дозволяє випускати конкурентоспроможну продукцію. Метою даної наукової роботи є проведення статистичного аналізу верстатів свердлильно-фрезерно-розточувальної групи з подальшим формуванням бази даних і розробленням рекомендацій щодо їх ефективного використання у промисловості.
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Strnad, Jiří. "Návrh malé multifunkční modelářské CNC frézky." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-444277.

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This diploma thesis deals with the construction proposal of a small multifunctional modeller CNC milling machine that enables milling of aluminium alloys and 3D printing using the FDM method. Based on the research, analyzes and defined entry requirements the construction proposal is created and verified by calculations. The thesis contains a description of all the construction parts including the printhead, the tool tray and the safety cover. The other part of the thesis describes the machine geometry adjustment and specifies the choice of control system. The thesis includes a 3D model and the drawing documentation of selected structural nodes.
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Lallé, Sébastien. "Assistance à la construction et à la comparaison de techniques de diagnostic des connaissances." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM042/document.

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Cette thèse aborde la thématique de la comparaison et de la construction de diagnostics des connaissances dans les Environnements Informatiques pour l'Apprentissage Humain (EIAH). Ces diagnostics sont utilisés pour déterminer si les apprenants maîtrisent ou non les connaissances ou conceptions du domaine d'apprentissage (par exemple math au collège) à partir des traces collectées par l'EIAH. Bien que ces diagnostics soient récurrents dans les EIAH, ils sont fortement liés au domaine et ne sont que peu formalisés, si bien qu'il n'existe pas de méthode de comparaison pour les positionner entre eux et les valider. Pour la même raison, utiliser un diagnostic dans deux domaines différents implique souvent de le redévelopper en partie ou en totalité, sans réelle réutilisation. Pourtant, pouvoir comparer et réutiliser des diagnostics apporterait aux concepteurs d'EIAH plus de rigueur pour le choix, l'évaluation et le développement de ces diagnostics. Nous proposons une méthode d'assistance à la construction et à la comparaison de diagnostics des connaissances, réifiée dans une première plateforme, en se basant sur une formalisation du diagnostic des connaissances en EIAH que nous avons défini et sur l'utilisation de traces d'apprenant. L'assistance à la construction se fait via un algorithme d'apprentissage semi-automatique, guidé par le concepteur du diagnostic grâce à une ontologie décrivant les traces et les connaissances du domaine d'apprentissage. L'assistance à la comparaison se fait par application d'un ensemble de critères de comparaison (statistiques ou spécifiques aux EIAH) sur les résultats des différents diagnostics construits. La principale contribution au domaine est la généricité de notre méthode, applicable à un ensemble de diagnostics différents pour tout domaine d'apprentissage. Nous évaluons notre travail à travers trois expérimentations. La première porte sur l'application de la méthode à trois domaines différents (géométrie, lecture, chirurgie) en utilisant des jeux de traces en validation croisée pour construire et appliquer les critères de comparaison sur cinq diagnostics différents. La seconde expérimentation porte sur la spécification et l'implémentation d'un nouveau critère de comparaison spécifique aux EIAH : la comparaison des diagnostics en fonction de leur impact sur une prise de décision de l'EIAH, le choix d'un type d'aide à donner à l'apprenant. La troisième expérimentation traite de la spécification et de l'ajout d'un nouveau diagnostic dans notre plateforme, en collaborant avec une didacticienne
Comparing and building knowledge diagnostic is a challenge in the field of Technology Enhanced Learning (TEL) systems. Knowledge diagnostic aims to infer the knowledge mastered or not by a student in a given learning domain (like mathematics for high school) using student traces recorded by the TEL system. Knowledge diagnostics are widely used, but they strongly depend on the learning domain and are not well formalized. Thus, there exists no method or tool to build, compare and evaluate different diagnostics applied on a given learning domain. Similarly, using a diagnostic in two different domain usually imply to implementing almost both from scratch. Yet, comparing and reusing knowledge diagnostics can lead to reduce the engineering cost, to reinforce the evaluation and finally help knowledge diagnostic designers to choose a diagnostic. We propose a method, refine in a first platform, to assist knowledge diagnostic designers to build and compare knowledge diagnostics, using a new formalization of the diagnostic and student traces. To help building diagnostics, we used a semi-automatic machine learning algorithm, guided by an ontology of the traces and the knowledge designed by the designer. To help comparing diagnostics, we use a set of comparison criteria (either statistical or specific to the field of TEL systems) applied on the results of each diagnostic on a given set of traces. The main contribution is that our method is generic over diagnostics, meaning that very different diagnostics can be built and compared, unlike previous work on this topic. We evaluated our work though three experiments. The first one was about applying our method on three different domains and set of traces (namely geometry, reading and surgery) to build and compare five different knowledge diagnostics in cross validation. The second experiment was about designing and implementing a new comparison criteria specific to TEL systems: the impact of knowledge diagnostic on a pedagogical decision, the choice of a type of help to give to a student. The last experiment was about designing and adding in our platform a new diagnostic, in collaboration with an expert in didactic
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LI, CHENG-CHE, and 李承哲. "International Subcontracting and Capabilities Construction in Taiwan Machine Tool Foundry Suppliers." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/02938096044343426841.

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碩士
東海大學
工業工程與經營資訊學系
104
Machine tool industry means a lot for Taiwan. Machine tool industry is the basic of the machinery industry, so how well country had been development can be inspect on the machinery industry. Machinery industry will be the third "Trillion industry" in Taiwan. Taiwan machine tool industry’s production value and export value had played a critical role on the international market. Taiwan Machine Tool has began by copying foreign machine tools in order to learn their technological capabilities, and therefore financial、environmental and government policy issue should learning through informal linkages. The past literature had fund that nowadays had gradually learning through formal linkages, subcontracting are one of the most important linkage. Most previous studies were foucs on assemblers, seldom investigate on components area, thus this studies will foucs on the most critical role foundry. Accroding to the research shows interactive between Japan and Taiwan has frequently relationship, this studies will reaearch their relationship. Enterprise realize advantages of outsourcing, sart focus on the core part and outsourcing the rest to the developing countries, and therefore global value chains has bring out. If enterprise wants to sustain their competitive advantage, first they have to realize their resourse and how to use their capability to applicate their resourse. This study will research capability construction and after that how to modify their resouse base. This study will analysis and conclusion the empirical research, understanding after international subcontracting what kind of capability will be constructed and how to application their resourse, hope this study can let other factory or industry to be reference.
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Lin, Yan-Hong, and 林彥宏. "Study on Universal Construction of Five-axis Virtual Machine Tool Simulation System." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/66186828500561007416.

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碩士
國立成功大學
機械工程學系碩博士班
92
Multi-axis machine tool acts the important role in manufacture, such as aerospace and mold industries, that need producing surface with high complexity and precision. Due to high cost of multi-axis machine tool, the demand for using CAM software to simulate machining process increases. Therefore, to develop multi-axis virtual machine tool simulation system by virtual reality technology has gradually formed a special research area. 　　Most of the researches about virtual multi-axis machine’s simulation system focus on development of functions or Web-based convenience in single specification. There are many limitations in simulation systems of single specification for users of different territories. For construction of virtual 5-axis machine simulation system, a new methodology is proposed in this thesis. First, D-H notation is used to represent the relative position and motion direction of machine tool’s various axes. Moreover, for achieving the system integrity, all type of configuration for five-axis machines is generated with the machining constraints. Finally, using the universal 5-axis postprocessor algorithm, NC files for machine tool movement are generated. The procedure from assemblage to machining simulation is generalized and taking account for various five-axis machine tools. 　　In this research, a user interface is developed. The interface can help users to select which specification they want to simulate and to input files that are necessary in simulation, and the system determines the machining information for user. This can assist users in constructing the simulation system they want efficiently and effectively. Finally, a five-axis machine was taken as the example to demonstrate the new method proposed in this thesis by completing the construction process and carrying out the machining simulation. The system finally output the NC file and verified the machining process by Vericut software.
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Lin, Yi-Jing, and 林易瑾. "System Dynamic Model Construction Based on Time Series- A Case Study of Machine Tool Import and Export." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/tt9vur.

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碩士
逢甲大學
工業工程與系統管理學系
106
Time series is composed of two factors: time and data. It is a sequence of changes in the number of certain phenomena over time, and is sorted by time. Different time series often have a causal relationship with each other, but the influence of two sequences will not necessarily occur in the current month or the next month, and there may be a delay effect between the sequences. The complex causal relationship between these time series can form a system that can be presented through the dynamic model of the system. This study collects time-series data and calculates the correlation coefficients between the two sequences, trying to clarify whether there is a causal relationship between these sequences and find out the delay time. This study will use these methods to take the machine tool industry as an example. Using the data of relevant time series to construct a dynamic model of the system, it becomes a reference condition for prediction.
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Lin, Yu-ting, and 林裕庭. "Resources and Capabilities Construction through M&A Strategies - A Case Study of Taiwanese Machine Tool Firm “Fair Friend Group”." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/5w5j4d.

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碩士
東海大學
工業工程與經營資訊學系
102
Taiwan’s Machine Tools is a important industry, it also a important factor of drive Taiwan’s economic growth. From Taiwan’s machine tools to the present was developing over sixty years. Since 1990, Taiwan’s machine tools always hold the top ranks of productivity, and have a important status in the world. However, Taiwan’s machine tools firm, the majority of Small and Medium-Sized Enterprises(SMEs), based on export, the rate is as high as 79%.Firm is very easily influenced by global economics.So, firms face environmental change, must to adjustment firm’s internal resources base. M&A is one of the methods to make enterprise growth quickly and efficiently, firm can through M&A to expand and enter new market. The most important of motivation is search technology, marketing etc resources and capabilities. A Taiwan’s machine tools firm - Fair Friend Group(FFG), it through M&A make firm growth. It owns machine tools, equipment, PCB, green energy industry., and possess complete production line, dealers around the world. Therefore, we want to analysis FFG’s resources and capabilities construction through M&A strategies. We’ll use resource-based theory and dynamic capabilities theory, figure out FFG access resources and capabilities in each phase. In FFG case, it’s helpful to access resources and capabilities through M&A strategies, and it can leverage, create, access, release resources and managerial resource cognition, have an influence after M&A completed.
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Books on the topic "Machine-tool construction"

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Bolotinskiĭ, L. S. Advances in Russian precision machine tool design and manufacture: From defense to civil applications. Alexandria, Va: Global Consultants, Inc., 1992.

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Hesselbach, Jürgen. Adaptronik für Werkzeugmaschinen: Forschung in Deutschland. Aachen: Shaker Verlag, 2011.

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A, Curtis Mark. Tool design for manufacturing. New York: Wiley, 1986.

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Engineers, Society of Manufacturing, ed. Fundamentals of tool design. 6th ed. Dearborn, Mich: Society of Manufacturing Engineers, 2010.

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Canadian Society of Civil Engineers., ed. Recent advances in tool constructions. [Montréal?: s.n., 1991.

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Alvarez, William. Roll Form Tool Design: Fundamentals. 2nd ed. Industrial Press, 2006.

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David, Spitler, Lantrip Jeff, Nee John G, Smith David A, and Society of Manufacturing Engineers, eds. Fundamentals of tool design. 5th ed. Dearborn, Mich: Society of Manufacturing Engineers, 2003.

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T, Reid David, and Society of Manufacturing Engineers, eds. Fundamentals of tool design. 3rd ed. Dearborn, MI: Society of Manufacturing Engineers, Publications Development Department, 1991.

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G, Nee John, and Society of Manufacturing Engineers, eds. Fundamentals of tool design. 4th ed. Dearborn, MI: Society of Manufacturing Engineers, 1998.

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Tool and Die Making Troubleshooter. Society of Manufacturing Engineers, 2002.

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Book chapters on the topic "Machine-tool construction"

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Payer, Michael. "Finite state machine theory as a tool for construction of systolic arrays." In Computer Aided Systems Theory — EUROCAST '89, 212–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/3-540-52215-8_19.

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Scott, Joseph, Aina Niemetz, Mathias Preiner, Saeed Nejati, and Vijay Ganesh. "MachSMT: A Machine Learning-based Algorithm Selector for SMT Solvers." In Tools and Algorithms for the Construction and Analysis of Systems, 303–25. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72013-1_16.

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AbstractIn this paper, we present MachSMT, an algorithm selection tool for Satisfiability Modulo Theories (SMT) solvers. MachSMT supports the entirety of the SMT-LIB language. It employs machine learning (ML) methods to construct both empirical hardness models (EHMs) and pairwise ranking comparators (PWCs) over state-of-the-art SMT solvers. Given an SMT formula $$\mathcal {I}$$ I as input, MachSMT leverages these learnt models to output a ranking of solvers based on predicted run time on the formula $$\mathcal {I}$$ I . We evaluate MachSMT on the solvers, benchmarks, and data obtained from SMT-COMP 2019 and 2020. We observe MachSMT frequently improves on competition winners, winning $$54$$ 54 divisions outright and up to a $$198.4$$ 198.4 % improvement in PAR-2 score, notably in logics that have broad applications (e.g., BV, LIA, NRA, etc.) in verification, program analysis, and software engineering. The MachSMT tool is designed to be easily tuned and extended to any suitable solver application by users. MachSMT is not a replacement for SMT solvers by any means. Instead, it is a tool that enables users to leverage the collective strength of the diverse set of algorithms implemented as part of these sophisticated solvers.
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Farmer, L. E., and P. L. B. Oxley. "Computer-Aided Methods for the Construction and Analysis of Hardening Slipline Fields for Experimental Flow Fields." In Proceedings of the Twenty-Fifth International Machine Tool Design and Research Conference, 421–27. London: Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-07529-4_49.

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Palmskog, Karl, Ahmet Celik, and Milos Gligoric. "Practical Machine-Checked Formalization of Change Impact Analysis." In Tools and Algorithms for the Construction and Analysis of Systems, 137–57. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45237-7_9.

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Abstract Change impact analysis techniques determine the components affected by a change to a software system, and are used as part of many program analysis techniques and tools, e.g., in regression test selection, build systems, and compilers. The correctness of such analyses usually depends both on domain-specific properties and change impact analysis, and is rarely established formally, which is detrimental to trustworthiness. We present a formalization of change impact analysis with machine-checked proofs of correctness in the Coq proof assistant. Our formal model factors out domain-specific concerns and captures system components and their interrelations in terms of dependency graphs. Using compositionality, we also capture hierarchical impact analysis formally for the first time, which, e.g., can capture when impacted files are used to locate impacted tests inside those files. We refined our verified impact analysis for performance, extracted it to efficient executable OCaml code, and integrated it with a regression test selection tool, one regression proof selection tool, and one build system, replacing their existing impact analyses. We then evaluated the resulting toolchains on several open source projects, and our results show that the toolchains run with only small differences compared to the original running time. We believe our formalization can provide a basis for formally proving domain-specific techniques using change impact analysis correct, and our verified code can be integrated with additional tools to increase their reliability.
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Del Castillo, Giuseppe. "The ASM Workbench: A Tool Environment for Computer-Aided Analysis and Validation of Abstract State Machine Models." In Tools and Algorithms for the Construction and Analysis of Systems, 578–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45319-9_40.

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Tan, Yong Kiam, Marijn J. H. Heule, and Magnus O. Myreen. "cake_lpr: Verified Propagation Redundancy Checking in CakeML." In Tools and Algorithms for the Construction and Analysis of Systems, 223–41. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72013-1_12.

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AbstractModern SAT solvers can emit independently checkable proof certificates to validate their results. The state-of-the-art proof system that allows for compact proof certificates is propagation redundancy (PR). However, the only existing method to validate proofs in this system with a formally verified tool requires a transformation to a weaker proof system, which can result in a significant blowup in the size of the proof and increased proof validation time. This paper describes the first approach to formally verify PR proofs on a succinct representation; we present (i) a new Linear PR (LPR) proof format, (ii) a tool to efficiently convert PR proofs into LPR format, and (iii) , a verified LPR proof checker developed in CakeML. The LPR format is backwards compatible with the existing LRAT format, but extends the latter with support for the addition of PR clauses. Moreover, is verified using CakeML ’s binary code extraction toolchain, which yields correctness guarantees for its machine code (binary) implementation. This further distinguishes our clausal proof checker from existing ones because unverified extraction and compilation tools are removed from its trusted computing base. We experimentally show that LPR provides efficiency gains over existing proof formats and that the strong correctness guarantees are obtained without significant sacrifice in the performance of the verified executable.
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Koblischek, Peter J. "Polymer Concrete as an Alternative Material for Grey Cast Iron and Welded Steel Construction in the Machine Tool Industry." In Brittle Matrix Composites 3, 529–38. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3646-4_56.

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Bortolussi, Luca, Giuseppe Maria Gallo, Jan Křetínský, and Laura Nenzi. "Learning Model Checking and the Kernel Trick for Signal Temporal Logic on Stochastic Processes." In Tools and Algorithms for the Construction and Analysis of Systems, 281–300. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99524-9_15.

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AbstractWe introduce a similarity function on formulae of signal temporal logic (STL). It comes in the form of a kernel function, well known in machine learning as a conceptually and computationally efficient tool. The corresponding kernel trick allows us to circumvent the complicated process of feature extraction, i.e. the (typically manual) effort to identify the decisive properties of formulae so that learning can be applied. We demonstrate this consequence and its advantages on the task of predicting (quantitative) satisfaction of STL formulae on stochastic processes: Using our kernel and the kernel trick, we learn (i) computationally efficiently (ii) a practically precise predictor of satisfaction, (iii) avoiding the difficult task of finding a way to explicitly turn formulae into vectors of numbers in a sensible way. We back the high precision we have achieved in the experiments by a theoretically sound PAC guarantee, ensuring our procedure efficiently delivers a close-to-optimal predictor.
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Shi, Lei. "Construction of Behavior-Oriented Smart Teaching Model in Mobile New Media Environment-Take the Course “NC Machine Tool Programming and Operation” as an Example." In Application of Intelligent Systems in Multi-modal Information Analytics, 611–16. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51556-0_89.

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Ławrynowicz, Agnieszka, and Jędrzej Potoniec. "Pattern Based Feature Construction in Semantic Data Mining." In Mobile Computing and Wireless Networks, 823–64. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8751-6.ch036.

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The authors propose a new method for mining sets of patterns for classification, where patterns are represented as SPARQL queries over RDFS. The method contributes to so-called semantic data mining, a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded in domain ontologies, rather than only purely empirical data. The authors have developed a tool that implements this approach. Using this the authors have conducted an experimental evaluation including comparison of our method to state-of-the-art approaches to classification of semantic data and an experimental study within emerging subfield of meta-learning called semantic meta-mining. The most important research contributions of the paper to the state-of-art are as follows. For pattern mining research or relational learning in general, the paper contributes a new algorithm for discovery of new type of patterns. For Semantic Web research, it theoretically and empirically illustrates how semantic, structured data can be used in traditional machine learning methods through a pattern-based approach for constructing semantic features.
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Conference papers on the topic "Machine-tool construction"

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Kobzev, K. O., S. A. Vyalov, E. S. Bozhko, and I. A. Zolotuhina. "FUTURE OF MACHINE TOOL CONSTRUCTION IN THE RUSSIAN FEDERATION." In STATE AND DEVELOPMENT PROSPECTS OF AGRIBUSINESS Volume 2. DSTU-Print, 2020. http://dx.doi.org/10.23947/interagro.2020.2.131-133.

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This article identifies trends and identifies priorities for the development of the machine tool industry. The problems faced by the machine tool industry during the economic crisis were considered. In conclusion, the conclusion is given on the state of the machine tool industry and the level of state support for this area.
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Håkansson, L., I. Claesson, L. Pettersson, and T. Lagö. "Active Control Machine Tool Chatter Piezo Ceramic Actuators in Tool Holder Shank." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8307.

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Abstract In the turning operation chatter or vibration is a frequent problem, which affects the result of the machining, and, in particular, the surface finish. Tool life is also influenced by vibration. Severe acoustic noise in the working environment frequently occurs as a result of dynamic motion between the cutting tool and the workpiece. These problems can be reduced by active control of machine-tool vibration. Adaptive feedback control based on the filtered-x LMS-algorithm, enables a reduction of the vibration by up to 40 dB at 1.5 kHz and by approximately 40 dB at 3 kHz. The active control performed a broadband attenuation of the sound pressure level by up to 35 dB. A significant improvement of the work-piece surface was also observed. In the active control of tool vibration a tool holder construction based on integrated high magnetostrictive actuators was used. However, both the physical features and properties of a active tool holder construction based on high magnetostrictive actuators and the fact that this type of actuators generally have a non-linear behaviour highly reduce its applicability to the general lathe and turning operation. Therefor, a new generation embedded active tool holder shanks based on piezo ceramic actuators have been developed. Based on spectrum estimates, both coherence spectrum and frequency response function estimates has been calculated for both the old tool holder construction and the new generation active tool holder shank. From the results it follows that the phase delay is smaller and the linearity of the new generation active tool holder shank are superior compared to the old technology. It is also obvious that physical features and properties of new generation embedded active tool holder shanks based on piezo ceramic actuators fits the general lathe application.
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Liu, Cheng-Tsung, and Chang-Chou Hwang. "Design and Construction of an IPM Motor for Automatic Tapping Machine Tool Applications." In 2019 IEEE International Electric Machines & Drives Conference (IEMDC). IEEE, 2019. http://dx.doi.org/10.1109/iemdc.2019.8785377.

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Itani, Anas, Rafiq Ahmad, and Mohamed Al-Hussein. "A Decision Tool to Simulate the Concurrent Interdependencies Between Multi-DFX Techniques in Machine Design Conflict Resolution." In 36th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2019. http://dx.doi.org/10.22260/isarc2019/0001.

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Vasenev, A., T. Hartmann, and and A. G. Dorée. "Employing a Virtual Reality Tool to Explicate Tacit Knowledge of Machine Operators." In 30th International Symposium on Automation and Robotics in Construction and Mining; Held in conjunction with the 23rd World Mining Congress. International Association for Automation and Robotics in Construction (IAARC), 2013. http://dx.doi.org/10.22260/isarc2013/0027.

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Shintani, Masanori, and Keita Masaki. "Construction of the Health Monitoring System of a Machine Structure." In ASME 2009 Pressure Vessels and Piping Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/pvp2009-77688.

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When big power like an earthquake acts at the place that the machine is normally operating, abnormalities may occur to a machine. If the machine is operated without finding abnormally, danger may attain to mechanical fatal damage and a mechanical work pursuer. Therefore, detecting in the situation where mechanical abnormalities are operated is very important as a health monitoring system. In this research, the system that takes in the vibration wave on the rotation part of the machine currently rotated is constructed. A vibration wave is analyzed using time-frequency analysis (STFT, the Wigner distribution, wave let analysis) From the result, the system by which normal vibration and abnormal vibration are evaluated is constructed from random noise. As a result of comparing normal vibration with abnormal vibration, the peak may have occurred in the high frequency region. It turned out that the analysis result of an unsteady state has a peak 2000Hz–3000Hz of frequency domains, and 4000Hz–5000Hz also in STFT and Wigner distribution. I think that this becomes the important tool which distinguishes the stationary state and unsteady state in health monitoring.
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Ma, De-yi, and Zi-sheng Li. "Research on construction and process parameter of high performance NC laser cutting machine tool of micro-slot." In 2010 International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2010. http://dx.doi.org/10.1109/mace.2010.5535636.

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Li, Qingzhao, Wei Wang, Hai Li, Jing Zhang, and Zhong Jiang. "Measuring Points Selection for Laser Tracker Measurement of Five-Axis Machine Tool." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88314.

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Due to the advantages of high efficiency, good flexibility and large measurement scale, the laser tracker measurement method is widely used in the error measurement of the machine tool. For the laser tracker measurement, the selection of the measuring points in the workspace has a significant influence on the identification effect of the errors. In this paper, the method to select the optimal measuring points is proposed. By construction of the suitable error vector and its corresponding error transformation matrix, the optimization criterion in robotic area is adopted to evaluate the identification effect of the measuring points. Based on the optimization criterion, the scheme of the measuring points selection can be established. The method proposed is validated by a case study. The method can help increase both the measurement efficiency and the error identification effect.
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Nishiyama, Mamoru, Ryuta Sato, and Keiichi Shirase. "3D Model Construction of Cutting Tools and Identification of Workpieces Using Machine Vision for Virtual Machining Simulation." In ASME/ISCIE 2012 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/isfa2012-7204.

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In virtual machining simulation to verify NC programs for machining operation, construction of 3D (three-dimensional) models of cutting tools to be used and identification of posture and position of workpiece to be machined are quite important to achieve reliable verification. Especially, a 3D model construction of cutting tools requires skill-full operations and it takes much time and cost. Several geometric parameters to define cutting tool shapes are needed to construct precise 3D models for virtual machining simulation. Even though, careless mistake to set parameters of tool diameter and length causes machining troubles. Therefore, no trouble was happened in virtual machining simulation, it is still required to check machining troubles through the trial-cutting on actual NC machine tools. In this paper, new methods to construct 3D models of cutting tools and identification of posture and position of workpiece are proposed. Experimental measurement of cutting tool shape is performed on the machine tool using a CCD camera, and a 3D model of cutting tool was constructed successfully. By this method, setting of invalid parameters to define cutting tool shapes can be avoided. Also, posture and position of the workpiece can be identified successfully. These parameters can be used to detect wrong setup operation before actual machining operation.
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Ko, Hua-Wei, Shiv G. Kapoor, Placid M. Ferreira, Patrick Bazzoli, J. Adam Nisbett, Douglas Bristow, and Yujie Chen. "Machine-Tool Error Observer Design With Application to Thermal Error Tracking." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6554.

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A parameter identification procedure for identifying the parameters of a volumetric error model of a large and complex machine tool usually requires a large number of observations of volumetric error components in its workspace. This paper demonstrates the possibility of applying optimal observation/experimental design theories to volumetric error model parameter identification of a large 5-axis machine with one redundant axis. Several designs such as A-, D- and K-optimal designs seek to maximize the amount of information carried in the observations made in an experiment. In this paper, we adapt these design approaches in the construction of machine-tool error observers by determining locations in the workspace at which components of volumetric errors must be measured so that the underlying error model parameters can be identified. Many of optimal designs tend to localize observations at either the center or the boundary of the workspace. This can leave large volumes of the workspace inadequately represented, making the identified model parameters particularly susceptible to model inadequacy issues. Therefore, we develop constrained optimization algorithms that force the distribution of observation points in the machine’s workspace. Optimal designs provide the possibility of efficiency (reduced number of observations and hence reduced measurement time) in the identification procedure. This opens up the possibility of tracking thermal variations of the volumetric error model with periodic quick measurements. We report on the design, implementation and performance of a constrained K-optimal in tracking the thermal variations of the volumetric error over a 5.5 hour period of operations with measurements being made each hour.
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