Academic literature on the topic 'Manufactures – Defects'

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Journal articles on the topic "Manufactures – Defects"

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Song, Wen Yan, Xin Guo Ming, Zhen Yong Wu, Zhi Tao Xu, and Li Na He. "A Bayesian Network Based Approach to Defect Prediction in New Product Development." Advanced Materials Research 328-330 (September 2011): 241–45. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.241.

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The development of new product with low cost and reliable quality is one of important means to improve customer satisfaction and increase manufactures’ profits. It is necessary to identify the key factors affecting product defects and control them early in the new product development (NPD) process with defect prediction methods, because defect prediction can effectively avoid or lower testing and unnecessary rework costs. The author proposes a new product defect prediction approach on the basis of Bayesian Network theory for decision-making in the NPD process. The proposed approach makes use of Bayesian Network to simulate defects’ formation process, and it has a strong learning ability without requiring much data at the beginning of defect prediction. Product developers can easily predict the probability of defect occurrence of new products with this practical approach. The proposed product defect prediction approach can also help to focus on key factors influencing defects most. An example of turbine valve development is used to illustrate the proposed defect prediction approach. Also, recommendations for future research have been suggested.
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Augustine, B. S. M. "Research in the Area of Material Failure in Aeroengine." Applied Mechanics and Materials 766-767 (June 2015): 562–70. http://dx.doi.org/10.4028/www.scientific.net/amm.766-767.562.

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The present investigation focuses on the influence of failure of material during maintenance of aeroengines installed in helicopters. This research study is on fifty eight engines withdrawn prematurely over a period of five years from the helicopters operated around the country before the completion of their actual life periods due to the failures of materials as serious defects. The effect of the trend of these defects was investigated thoroughly based on the analysis reports on the observation from the stripping laboratory test and the study on the investigation done thereafter at the defect investigation agency of the engine at overhaul shop. The entire study of these defects is carried out from the facts received from the analytical and experimental investigations. The remedial measures are identified and established after a deep evaluation. The causes of the factors attributing to the development of defects are found out by research analysis. They are mainly based on design, qualities of material, poor standard in quality control procedures and maintenance practices. They are implemented by the users for the achievement of reduction in the occurrence of such defects towards a significant improvement in the subsequent maintenance of aeroengines. Further, the remedial measures, besides prevention of occurrence of such defects has a great impact on the development of a high degree of aeroengine maintenance The final results of this research study are prepared as suggested measures to be forwarded for implementation to manufactures, overhaul agency and operators
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Mikhaylova, N. A., E. I. Kosarina, A. A. Demidov, and P. V. Suvorov. "Radiation control of blanks manufactured using additive technology by digital radiography." Industrial laboratory. Diagnostics of materials 88, no. 10 (October 24, 2022): 48–53. http://dx.doi.org/10.26896/1028-6861-2022-88-10-48-53.

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Additive technologies, namely selective laser melting (SLM), are often used in manufacturing products of critical duty. At the same time, the SLM process may be accompanied by the appearance of specific defects in the product. We present the results of radiation monitoring of aviation blanks manufactures using addi­tive technology by digital radiography. A digital detector system was used as an X-ray converter. It is shown that the methods of film radiography traditionally used for control in the case of aircraft objects are not always effective. The method of digital radiography, on the contrary, is the most adequate. Comparison of the results of digital radiography with data of traditional radiography revealed that the time spent on radiation monitoring when using an automated manipulator is significantly reduced, while the monitor­ing performance increases dramatically. The results obtained can be used to improve the methods of radia­tion monitoring of aircraft objects manufactured using additive technologies.
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Muhin, Oleg. "Forecasting Locomotive Run Dynamics Given the Impact of Defects and of Junction Up-grading." Bulletin of scientific research results 2022, no. 4 (December 24, 2022): 90–105. http://dx.doi.org/10.20295/2223-9987-2022-4-90-105.

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Purpose: To improve planning system for depot and factory repairs and for locomotive up-grades in the conditions of new rolling stock delivery on the basis of life-cycle contract by the way of the development and application of mathematical model for prognosing average daily and linear runs given the impact on run of technical-technological, seasonal and random fac-tors as well as defects, limiting junctions, and their upgrading. Methods: To achieve the set goal realization, the impact assessment for non-productive downtime of new locomotives at repairs as a result of clearing of junction defects and an equipment and of downtime in wait-ing for planned repairs on dynamics of average daily and linear runs was carried out. Based on the method of multidimensional spectral singular analysis and the prognosis of time series Multi-Channel Singular Spectrum Analysis, the mathematical model on run prognosis which algorithm for, has been embodied in integrated programming environment Visual Studio (2019) on C++ programming codes. Results: Run determination method given junction and equipment possible defects and given being planned upgrading has been proposed. Practical importance: In the conditions of life-cycle contract application which frames in, the participa-tion of locomotives and their components manufacturers in the technical support of supplied products throughout their entire service-life is implied, the usage of the proposed model at re-pair program monthly, quarterly and annual planning, would reduce the downtime in waiting for putting into a repair position on account of more accurate forecast, rationally distributed repairs, materials, stock of linear equipment between service manufactures.
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Sun, Tianyu, Lei Qiao, and Mingjun Xia. "Effective Failure Analysis for Packaged Semiconductor Lasers with a Simple Sample Preparation and Home-Made PEM System." Photonics 8, no. 6 (May 24, 2021): 184. http://dx.doi.org/10.3390/photonics8060184.

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As the application requirements of semiconductor lasers continue to increase, severe challenges are brought to the reliability of semiconductor lasers. In order to promote the study of laser failure, this paper proposes an effective failure analysis method for packaged semiconductor lasers with a simple sample preparation and home-made photon emission microscopy (PEM) system. The new simple sample preparation process for failure analysis is presented and the necessary polishing fixture is designed so that sample can be obtained without expensive and complex micro-/nano-processing. Two types of home-made PEM experimental systems were established for observing the failure from the front facet and active region of semiconductor lasers. Experimental results showed that, with the proposed sample preparation flow, the home-made PEM experimental system effectively observed the leakage defects from the front facet and dark spot defects (DSDs) in the active region of semiconductor lasers. The method can help researchers and laser manufactures to perform effective failure analysis of packaged semiconductor lasers.
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Fitriana, Rina, and Nur Anisa. "Perancangan Pebaikan Kualitas Produk Baut dan Sekrup Menggunakan Metode Six Sigma dan Data Mining di PT. A." JURNAL TEKNIK INDUSTRI 9, no. 1 (July 4, 2019): 46–53. http://dx.doi.org/10.25105/jti.v9i1.4786.

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PT. A is a manufacturing company that manufactures bolts and screws in accordance with customer demand. This study aims to determine the type of dominant defect that causes a decrease in quality, the factors that cause disability and apply proposed improvements to reduce the level of disability. Improvements are made by using the Six Sigma method, namely the DMAIC stage and making a decision tree (decision tree) using the Data Mining application. Where for the DMAIC stage are: Define, Measure, Analyze, Improvement, and Control (DMAIC). At the define stage, it was found that the production process with the largest number of defects was in the process of heading with the number of defects exceeding the target of 600 PPM (parts per million) that had been determined by the factory during April - June 2017. The heading process was the most important problem focused on the research conducted. The results of identification of Critical to Quality (CTQ) for the characteristics of attribute defects in the production of bolts and screws in the heading process are head burry, head no center, head crack, and body scratch. The second stage is the measure stage, where the control used by statistical process control (SPC) for attribute data is using the P control map and is known to have a sigma 3.50 level with a DPMO value of 22,727. The third stage is the Analyze stage, analyzing the problems of the four types of defects using the Ishikawa diagram. The improvement stage resulted from the decision tree in data mining processing that is obtained by standardizing inspections with seven IF THEN RULE functions, and making maintenance activity plans in the heading process. After implementation, there is a control stage, the results of the analysis show that after implementation using the data mining method and the Six Sigma method, the sigma value has increased which was originally 3.50 to 3.67.
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Bilotta, Antonio, and Gian Piero Lignola. "Effects of Defects on Bond Behavior of Fiber Reinforced Cementitious Matrix Materials." Materials 13, no. 1 (January 1, 2020): 164. http://dx.doi.org/10.3390/ma13010164.

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High-strength fibers embedded in inorganic matrix i.e., Fiber Reinforced Cementitious Mortar materials (FRCM) are commonly used as strengthening technique for existing masonry structures, due to the low sensitivity to debonding phenomena between substrate and matrix. Nevertheless, the use of lime or cement-based matrix instead of epoxy adhesive implies that attention has to be paid to the bond behavior between the fibers and the matrix, since sliding phenomena and cohesive failures in the mortar matrix can occur. The paper aims to investigate the effect of the mechanical properties of fiber and matrix on the FRCM efficiency, and potential geometrical defects, typical of real applications. The aim is to analyze the mechanical behavior of the FRCM system by simulating hypothetical bond tests, as they are usually performed in laboratories. The bond test has a significant role, as it is used for the qualification of the material, providing sometimes very scattered results. Hence, it is particularly important and greatly discussed in the scientific community and among manufactures and practitioners. The purpose is to understand where this variability could derive from and possibly how to contain it, to improve the characterization of FRCM systems. A mechanical model has been proposed to simulate the usual bond test to focus and stress the way in which each fiber slips out of the matrix as the load increases; and this has been recognized as the main reason for scattered results in bond tests. The model was then applied to the typical cases of PBO-FRCM and Glass-FRCM, hence considering different ratios for the fiber and matrix properties.
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Blevins, Kier Maddox, Richard M. Danilkowicz, Amanda N. Fletcher, Nicholas B. Allen, Lindsey G. Johnson, and Samuel B. Adams. "In situ 3D bioprinting of musculoskeletal tissues in orthopedic surgery." Journal of 3D Printing in Medicine 6, no. 1 (March 2022): 25–36. http://dx.doi.org/10.2217/3dp-2021-0022.

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Annually, millions of Americans require some form of reconstructive surgery as the result of a traumatic injury, degenerative process or pathologic state. In the field of orthopedic surgery, the gold standard for augmenting bone, cartilage and soft tissue defects has been through the application of grafts, prostheses and soft-tissue flaps. Recently, there have been great advances within the field of tissue engineering including the development of 3D-bioprinting technology. Bioprinting uses biomaterials and cells to create 3D tissue-mimicking structures aimed at repairing or replacing damaged tissues. Further developments have led to in situ bioprinting which manufactures the tissue directly at the site of repair through handheld or portable 3D-bioprinting devices. Challenges still exist in implementing this technology. However, there is hope that one day this technology will be equipped for the operating room or clinic.
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Kumar, Satish, Tushar Kolekar, Shruti Patil, Arunkumar Bongale, Ketan Kotecha, Atef Zaguia, and Chander Prakash. "A Low-Cost Multi-Sensor Data Acquisition System for Fault Detection in Fused Deposition Modelling." Sensors 22, no. 2 (January 10, 2022): 517. http://dx.doi.org/10.3390/s22020517.

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Fused deposition modelling (FDM)-based 3D printing is a trending technology in the era of Industry 4.0 that manufactures products in layer-by-layer form. It shows remarkable benefits such as rapid prototyping, cost-effectiveness, flexibility, and a sustainable manufacturing approach. Along with such advantages, a few defects occur in FDM products during the printing stage. Diagnosing defects occurring during 3D printing is a challenging task. Proper data acquisition and monitoring systems need to be developed for effective fault diagnosis. In this paper, the authors proposed a low-cost multi-sensor data acquisition system (DAQ) for detecting various faults in 3D printed products. The data acquisition system was developed using an Arduino micro-controller that collects real-time multi-sensor signals using vibration, current, and sound sensors. The different types of fault conditions are referred to introduce various defects in 3D products to analyze the effect of the fault conditions on the captured sensor data. Time and frequency domain analyses were performed on captured data to create feature vectors by selecting the chi-square method, and the most significant features were selected to train the CNN model. The K-means cluster algorithm was used for data clustering purposes, and the bell curve or normal distribution curve was used to define individual sensor threshold values under normal conditions. The CNN model was used to classify the normal and fault condition data, which gave an accuracy of around 94%, by evaluating the model performance based on recall, precision, and F1 score.
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Mochammad Iqbal Syidik, M Dzikron, and Iyan Bachtiar. "Perbaikan Kualitas Produk Tas Kulit dengan Menggunakan Metode Teorija Rezhenija Izobretatelskih Zadach (TRIZ) pada CV. X – Bandung." Jurnal Riset Teknik Industri 1, no. 1 (July 6, 2021): 43–48. http://dx.doi.org/10.29313/jrti.v1i1.95.

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Abstract. CV. X is a company engaged in the leather industry that manufactures wallets, bags and key chains. The company experienced a decrease in sales volume due to a decrease in product quality from defective products in the company. Leather bags have an average percentage of disability of 2.39% in 2017-2018 from the company's disability limit of 2%. The existence of these defective products requires companies to improve product quality to reduce the occurrence of defects. The method used to solve the problems that are being faced by the company is the Seven Tools Quality Control method to identify the causes of product defects, while the Rezhenija Izobretatelskih Zadach (TRIZ) method is used to design a product quality improvement plan. The result of data processing which becomes the main priority is defect cutting. The causes of cutting defects include decreased work concentration, inadequate workers, poor physical condition, no machine maintenance, blunt cutting machines, high cutting machine use intensity, work environment, hot room temperature, lack of work space lighting. All causes of product defects are designed to improve the quality of leather bag products by creating visual controls, forms for worker health, cutting knife replacement machines, installing air conditioners, and adding lights to the sewing machine. Abstrak. CV. X merupakan perusahaan yang bergerak di bidang industri kulit yang memproduksi dompet, tas, dan gantungan kunci. Perusahaan mengalami penurunan volume penjualan yang disebabkan karena adanya penurunan kualitas produk dari produk cacat di perusahaan. Tas kulit memiliki rata-rata persentase kecacatan sebesar 2,39% pada tahun 2017-2018 dari batas kecatatan yang ditetapkan perusahaan sebesar 2%. Adanya produk cacat tersebut mengharuskan perusahaan melakukan perbaikan kualitas produk untuk mengurangi terjadinya kecacatan. Metode yang digunakan untuk menyelesaikan permasalahan yang sedang dihadapi oleh perusahaan yaitu metode Seven Tools Quality Control untuk mengidentifikasi penyebab terjadinya kecacatan produk, sedangkan metode Teorija Rezhenija Izobretatelskih Zadach (TRIZ) digunakan untuk membuat rancangan perbaikan kualitas produk. Hasil pengolahan data yang menjadi prioritas utama yaitu cacat potong. Penyebab cacat potong diantaranya yaitu konsentrasi kerja menurun, pekerja kurang hati-hati kondisi fisik kurang baik, tidak ada perawatan mesin, mesin potong tumpul, intesitas penggunaan mesin potong tinggi, lingkungan kerja, suhu ruangan panas, pencahayaan ruang kerja kurang. Semua penyebab cacat produk dibuat rancangan perbaikan untuk meningkatkan kembali kualitas produk tas kulit dengan membuat visual control, form untuk kesehatan pekerja, mesin penggantian pisau potong, pemasangan AC, serta penambahan lampu pada meisn jahit.
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Dissertations / Theses on the topic "Manufactures – Defects"

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Lawrence, James Andrew. "The prediction of bubble defects in castings." Thesis, University of Greenwich, 2004. http://gala.gre.ac.uk/6219/.

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Objective of this research was to develop models that capture the entrainment, breakup and transport of gas bubbles in solidifying TiAl castings. The candidate has reviewed the literature, programmed in FORTRAN code, and validated a number of competing techniques for two phase flow relevant to the filling of moulds. He has developed a hybrid (Donor-acceptor/ Level Set) method, which captures the characteristics of gas bubbles based on the surface tension —fluid inertia balance on the free surface. He has demonstrated the ability of this method to reproduce observed phenomena. The candidate also conducted an experimental campaign in Birmingham University under the supervision of Dr R.A. Harding to provide real casting data for his simulations. KAP Edited extract from RD3 MPhil/PhD form: "This research was carried out at the University of Greenwich in conjunction with the University of Birmingham as part of a larger EPSRC- funded project concerned with the development of a casting process route for the production of gamma-TiAl components. Focus of the research was the development of a model of entrained bubbles in the metal casting process. This model comprises the combination of several physical phenomena coupled within the PHYSICA multi-physics framework. The key areas the research has touched on are, surface tension modelling and free-surface modelling using the finite volume technique. A model has been developed that simulates bubble formation during the filling of castings due to surface entrainment and subsequent motion. Once entrained these bubbles tend to solidify in the casting where the rate of solidification is too fast for escape by buoyancy. This problem is particularly acute in thin blade sections of TiAl, where sufficient superheat cannot be maintained during the casting process. Mould filling techniques have to be modified accordingly to improve the mechanical integrity of components. Two phase systems with a sharp, well-defined interface governed by surface tension are required to be modelled. The Level Set Method (LSM) is such a method, used to maintain the position of the interface as it moves through a fixed computational grid. The interface is moved or distorted by the advection equation. In this case two numerical methods are used in differencing: Van-Leer and Donor Acceptor. The Donor Acceptor method is of use when modelling highly dynamic surfaces, such as those encountered during the metal pouring phase in castings, or when fuel sloshes in a fuel tank. This method is best for capturing the entrapment of large bubbles of gas by surface folding. A process directly related to the moving surface. However, the LSM, which allows many surface properties to be calculated, cannot be used in conjunction with the Donor Acceptor method which uses heuristics to sharpen the interface in each compu6tational cell. Once bubbles are formed, their existence and motion are governed by the action of surface tension, therefore the mathematically more rigorous Van-Leer differencing scheme is used in conjunction with the LSM. Bubbles are then tracked using the freesurface method. The tracking limit is determined by the fineness of the mesh used. Sub grid bubbles or bubbles that only occupy a small number of cells can no longer be tracked in a continuum Eulerian simulation. Lagrangian particle tracking is then necessary. The original work in this research can be described as the coupling of the formation of bubbles using the Donor Acceptor method, with the LSM / Van-Leer technique for their subsequent motion and behaviour. This involves: • Modelling the initial free-surface dynamics with the Donor Acceptor technique. • Modelling bubble formation using the Donor Acceptor technique. • Using Results from bubble formation database to "re-start" the simulation with the inclusion of surface tension. • Tracking bubbles as a free-surface, computing their subsequent break up or coalescence • Once the bubbles reach a minimum size for a given mesh, continue tracking using the Lagrangian particle tracking technique. The model was applied to: • Simple validation experiments to test the correctness of the coding • Sloshing/collapsing column experiments to evaluate bubble formation • Simple geometry situations where the combined model is used with Bubble Formation/Tracking Surface Tension • Model the filling of the flat plate experimental setup Future work (not completed ...) • Develop criteria for switching between the Eulerian (free surface) and Lagrangian (particle tracking) scheme • Compare with Experimental Data obtained at the University of Birmingham • Run 3D Cases representing real geometries with HT and solidification • Model the counter-gravity filling process"
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Bogen, Daniel J. "Effects of Manufacturing Defects on the Corrosion of Additively Manufactured AlSi10Mg." Youngstown State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1596641889374996.

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Bhamidipati, Kanthi Latha. "Detection and elimination of defects during manufacture of high-temperature polymer electrolyte membranes." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/43616.

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Defect generation and propagation in thin films, such as separation membranes, can lead to premature or catastrophic failure of devices such as polymer electrolyte membrane fuel cells (PEMFC). It is hypothesized that defects (e.g., air bubbles, pin-holes, and holes) originate during the manufacturing stage, if precise control is not maintained over the coating process, and they propagate during system operation. Experimental and numerical studies were performed to detect and eliminate defects that were induced during slot die coating of high-viscosity (1 to 40 Pa-s), shear-thinning solutions. The effects of fluid properties, geometric parameters and processing conditions on air entrainment and coating windows (limited set of processing conditions for which defect-free coating exists) were studied. When smaller slot gaps and coating gaps were used, relatively small bubbles were entrained in the coated film. The air bubble sizes increased as the viscosity of the coating solution decreased. A semi-empirical model correlating the maximum coating speed to a solution's material properties, geometric parameters and processing conditions was developed. Such a predictive model will enable engineers to determine the maximum coating boundary for shear-thinning and Newtonian solutions within certain constraints. Smaller coating gaps and low-viscosity solutions produced higher coating speeds. The surface tension property of the coating solution provided stability to the coating bead. Therefore, solutions with higher surface tension could be processed at higher coating speeds.
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González, Bautista Javier, and Sánchez Alberto Guerrero. "Reducción de defectos en el proceso de fabricación para el bastidor de automóvil." Thesis, Universidad de las Américas Puebla, 2010. http://catarina.udlap.mx/u_dl_a/tales/documentos/lmnf/gonzalez_b_j/.

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Tammas-Williams, Samuel. "XCT analysis of the defect distribution and its effect on the static and dynamic mechanical properties in Ti-6Al-4V components manufactured by electron beam additive manufacture." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/xct-analysis-of-the-defect-distribution-and-its-effect-on-the-static-and-dynamic-mechanical-properties-in-ti6al4v-components-manufactured-by-electron-beam-additive-manufacture(cb034391-b61f-4e16-91cd-7ad3c9ec6312).html.

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Selective electron beam melting (SEBM) is a promising powder bed Additive Manufacturing technique for near-net-shape manufacture of high-value titanium components. An extensive research program has been carried out to characterise in 3D the size, volume fraction, and spatial distribution of the pores in model samples, using X-ray computed tomography (XCT), and correlate them to the SEBM process variables. The average volume fraction of the pores (97.5 %) where fatigue cracks would initiate based on the relative stress intensity factor of all the pores. In contrast, crack growth was found to be insensitive to porosity, which was attributed to the much higher stress concentration generated by the crack in comparison to the pores. Some crack diversion was associated with the local microstructure, with prior β grain boundaries often coincident with crack diversion.
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Eidt, Wesley Earl. "Defect Modeling and Vibration-Based Bending Fatigue of Additively Manufactured Inconel 718." Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1590502861855386.

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Yorgason, Robert Ivan. "Heteromorphic to Homeomorphic Shape Match Conversion Toward Fully Automated Mesh Morphing to Match Manufactured Geometry." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6414.

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The modern engineering design process includes computer software packages that require approximations to be made when representing geometries. These approximations lead to inherent discrepancies between the design geometry of a part or assembly and the corresponding manufactured geometry. Further approximations are made during the analysis portion of the design process. Manufacturing defects can also occur, which increase the discrepancies between the design and manufactured geometry. These approximations combined with manufacturing defects lead to discrepancies which, for high precision parts, such as jet engine compressor blades, can affect the modal analysis results. In order to account for the manufacturing defects during analysis, mesh morphing is used to morph a structural finite element analysis mesh to match the geometry of compressor blades with simulated manufacturing defects. The mesh morphing process is improved by providing a novel method to convert heteromorphic shape matching within Sculptor to homeomorphic shape matching. This novel method is automated using Java and the NX API. The heteromorphic to homeomorphic conversion method is determined to be valid due to its post-mesh morphing maximum deviations being on the same order as the post-mesh morphing maximum deviations of the ideal homeomorphic case. The usefulness of the automated heteromorphic to homeomorphic conversion method is demonstrated by simulating manufacturing defects on the pressure surface of a compressor blade model, morphing a structural finite element analysis mesh to match the geometry of compressor blades with simulated manufacturing defects, performing a modal analysis, and making observations on the effect of the simulated manufacturing defects on the modal characteristics of the compressor blade.
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Acharya, Pradip. "DETECTION AND SEGMENTATION OF DEFECTS IN X-RAY COMPUTED TOMOGRAPHY IMAGE SLICES OF ADDITIVELY MANUFACTURED COMPONENT USING DEEP LEARNING." OpenSIUC, 2021. https://opensiuc.lib.siu.edu/theses/2834.

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Additive manufacturing (AM) allows building complex shapes with high accuracy. The X-ray Computed Tomography (XCT) is one of the promising non-destructive evaluation techniques for the evaluation of subsurface defects in an additively manufactured component. Automatic defect detection and segmentation methods can assist part inspection for quality control. However, automatic detection and segmentation of defects in XCT data of AM possess challenges due to contrast, size, and appearance of defects. In this research different deep learning techniques have been applied on publicly available XCT image datasets of additively manufactured cobalt chrome samples produced by the National Institute of Standards and Technology (NIST). To assist the data labeling image processing techniques were applied which are median filtering, auto local thresholding using Bernsen’s algorithm, and contour detection. A convolutional neural network (CNN) based state-of-art object algorithm YOLOv5 was applied for defect detection. Defect segmentation in XCT slices was successfully achieved applying U-Net, a CNN-based network originally developed for biomedical image segmentation. Three different variants of YOLOv5 which are YOLOv5s, YOLOv5m, and YOLOV5l were implemented in this study. YOLOv5s achieved defect detection mean average precision (mAP) of 88.45 % at an intersection over union (IoU) threshold of 0.5. And mAP of 57.78% at IoU threshold 0.5 to 0.95 using YOLOv5M was achieved. Additionally, defect detection recall of 87.65% was achieved using YOLOv5s, whereas a precision of 71.61 % was found using YOLOv5l. YOLOv5 and U-Net show promising results for defect detection and segmentation respectively. Thus, it is found that deep learning techniques can improve the automatic defect detection and segmentation in XCT data of AM.
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Ngo, Austin. "Effects of Build Orientation and Post Processing on the Mechanical Properties of Additively Manufactured AlSi10Mg." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1588623582368507.

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Tsui, Mabel W. "A critical analysis of pharmaceutical manufacturers' product liability claims under the Australian consumer law: Interpretation, operation and reform." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/98526/4/Mabel_Tsui_Thesis.pdf.

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This thesis examines the adjudication of pharmaceutical product liability claims under the Australian Consumer Law. Recognising the seminal role that policy and principles have in the interpretation of legislation, this thesis encourages the adoption of a principled approach in the adjudication of statutory pharmaceutical product liability claims in Australia. The principles can be used to critique the current adjudication of pharmaceutical product injury claims while also guiding the determination of future claims. This thesis demonstrates a step forward in streamlining the law in this area, thus fulfilling its objective to reform product liability law in Australia.
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Books on the topic "Manufactures – Defects"

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Zur Problematik der sogenannten weiterfressenden Mängel nach dem allgemeinen Deliktsrecht und dem Produkthaftungsgesetz. Frankfurt am Main: P. Lang, 1994.

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Der Weiterfresserschaden als primärer Vermögensschaden und dessen Ersatzfähigkeit. Hamburg: Verlag Dr. Kovač, 2008.

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Sachmängelhaftung im französischen Kaufrecht vor und nach Umsetzung der Verbrauchsgüterkaufrichtlinie: Mit rechtsvergleichenden Hinweisen zum deutschen Recht unter besonderer Berücksichtigung von "Weiterfressersachverhalten". Frankfurt am Main: P. Lang, 2008.

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M, Predeleanu, ed. Computational methods for predicting material processing defects. Amsterdam: Elsevier, 1987.

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MRB engineering handbook. Milwaukee, Wis: ASQC Quality Press, 1993.

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Jumayʻi, Ḥasan ʻAbd al-Bāsiṭ. Shurūṭ al-takhfīf wa-al-iʻfā' min ḍamān al-ʻuyūb al-khafīyah: Dirāsah muqāranah bayna al-qānūn al-Miṣrī wa-qānūn Dawlat al-Imārāt wa-al-qawānīn al-Ūrūbbīyah. [Cairo]: [publisher not identified], 1993.

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Zhang, Jiangli (Law teacher), author, ed. Chan pin ze ren qian yan wen ti shen pan shi wu: Chanpin zeren qianyan wenti shenpan shiqu. Beijing: Zhongguo fa zhi chu ban she, 2014.

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The software conspiracy: Why software companies put out faulty products, how they can hurt you, and what you can do about it. New York: McGraw-Hill, 2000.

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Glitch: The hidden impact of faulty software. Upper Saddle River, NJ: Prentice Hall, 2010.

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Kerton, Robert R. Quality, choice, and the economics of concealment: The marketing of lemons. [Toronto, Ont.]: Canadian Law and Economics Association c/o Faculty of Law, University of Toronto, 1994.

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Book chapters on the topic "Manufactures – Defects"

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Stapper, C. H. "Fault-Free or Fault-Tolerant VLSI Manufacture." In Defect and Fault Tolerance in VLSI Systems, 1–13. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4757-9957-6_1.

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Sheridan, Luke, Bo Whip, and Joy Gockel. "Primary Processing Parameter Effects on Defects and Fatigue in Alloy 718." In Structural Integrity of Additive Manufactured Parts, 450–64. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2020. http://dx.doi.org/10.1520/stp162020180092.

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Dutton, Ben, Wilson Vesga, Jess Waller, Steve James, and Mohsen Seifi. "Metal Additive Manufacturing Defect Formation and Nondestructive Evaluation Detectability." In Structural Integrity of Additive Manufactured Parts, 1–50. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2020. http://dx.doi.org/10.1520/stp162020180136.

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Heifetz, Alexander, Dmitry Shribak, Zoe L. Fisher, and William Cleary. "Detection of Defects in Additively Manufactured Metals Using Thermal Tomography." In TMS 2021 150th Annual Meeting & Exhibition Supplemental Proceedings, 121–27. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65261-6_11.

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Sinclair, A. N., M. Graf, V. daSilva, M. D. C. Moles, M. Doleby, S. Kramer, and A. L. Allen. "Manufacture of Reference Defects for NDE through Hot Isostatic Pressing." In Review of Progress in Quantitative Nondestructive Evaluation, 2235–42. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3742-7_144.

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Na, Jeong K., John Middendorf, Michael Lander, Jess M. Waller, and Richard W. Rauser. "Nondestructive Evaluation of Programmed Defects in Ti-6Al-4V L-PBF ASTM E8-Compliant Dog-Bone Samples." In Structural Integrity of Additive Manufactured Parts, 206–33. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2020. http://dx.doi.org/10.1520/stp162020180095.

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Romano, Simone, Stefano Beretta, Stefano Miccoli, and Michael Gschweitl. "Probabilistic Framework for Defect Tolerant Fatigue Assessment of Additively Manufactured Parts Applied to a Space Component." In Structural Integrity of Additive Manufactured Parts, 526–39. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2020. http://dx.doi.org/10.1520/stp162020180112.

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Ferreira, Kévin, Nabil Anwer, and Charyar Mehdi-Souzani. "Data Processing of L-PBF Manufactured Lattice Structures for Geometric Defects Characterization." In Advances on Mechanics, Design Engineering and Manufacturing IV, 1005–16. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15928-2_88.

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Mahmoud, Dalia, Mohamed A. Elbestawi, and Kassim S. Al-Rubaie. "Effect of Microstructure and Internal Defects on the Mechanical Properties of Ti6Al4V Gyroid Lattice Structures for Biomedical Implants." In Structural Integrity of Additive Manufactured Materials & Parts, 271–88. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2020. http://dx.doi.org/10.1520/stp163120190125.

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TAN, Engin, Ali Riza TARAKCILAR, and Derya DISPINAR. "Defect Analysis by Casting Simulation Software in Rolling Roll Manufactured by GGG70." In CFD Modeling and Simulation in Materials Processing, 213–18. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118364697.ch25.

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Conference papers on the topic "Manufactures – Defects"

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Abramova, E. V., O. N. Budadin, and V. F. Panin. "Automated thermal NDT system applied to internal defects inspection of sheet rolled metal in manufactures." In 1996 Quantitative InfraRed Thermography. QIRT Council, 1996. http://dx.doi.org/10.21611/qirt.1996.050.

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Mojtahed, Masoud, Joslin Mourillon, and Adam Riley. "Application of Digital Imaging Techniques in Detection of Defects in Thin Plywood." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-39313.

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The detection of flaws and cavities in thin plywood boards saves money for manufactures of a variety of products. Flaws in the boundaries of pieces cut from plywood makes them useless. Therefore, it is essential to detect and locate knots and flaws in plywood boards before the cutting process. A detection and locating system was developed to detect knots and cavities in thin plywood boards using Digital Image Processing and light enhancement methods. The system comprises of three major components: a light source, a digital camera and a computer. The intense light source is used to brighten and reveal flaws and defects in the plywood board in an apparatus. The digital camera captures a digitized picture of the lighted board and stores it on the computer. Finally, a program written in Matlab™ code analyzes the captured image of the board, compares it to a template, and indicates whether flaws are located on the template’s cut lines. The advantage of using these methods is that it allows for the examination and analysis of the plywood without compromising its integrity. When a flaw is detected, the system repositions the plywood image in search of finding an orientation that will allow all defects to avoid cut lines. The process is repeated against several templates until the correct match is found. Once the match and usable orientation is found, a prompt will appear on the computer screen telling the system operator the template name and the orientation of the plywood board.
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Wang, Jier, Dianyin Hu, Long Zhang, Xi Liu, and Rongqiao Wang. "Durability Assessment of Additive Manufactured Compressor Disk Considering Material Defects Distribution." In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-76465.

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Additive Manufacturing (AM) applications are poised to rapidly expand in aero-engines, providing opportunities to manufacture complex geometries which are unobtainable through traditional manufacturing techniques. The powder based AM process, selective laser melting (SLM), results in susceptibility to defects such as porosity, lack of fusion, and unmelted powder. These random defects often serve as fatigue crack initiation sites, thus influencing fatigue crack initiation and growth behavior. Consequently, the influence of random defects on high cycle fatigue performance for the AM titanium compressor disk is investigated in this study. First, the relationships between the defect area and the fatigue performances involving fatigue limit and the crack propagation threshold are quantified. Second, the effect of defect probability distribution is examined. Finally, the durability analyses on SLM titanium compressor disks in Ti-6A1-4V alloy are performed based on the fatigue life prediction model for defect-containing AM material. Then sensitivity analysis is conducted to determine the critical defect size influencing the fatigue limit and fatigue life.
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Sous, Florian, Tim Herrig, Thomas Bergs, Florian Karges, Nicole Feiling, and Markus Zeis. "Electrochemical Defect Analysis (EC-D) of Additive Manufactured Components." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-59482.

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Abstract Due to more freedom in design and flexibility in production, parts produced by additive manufacturing technologies (AM) offer a huge potential for the manufacture of turbomachinery components. Because of the layer by layer built structure, internal defects like cracks or gaseous pores can occur. These defects considerably reduce the mechanical properties and increase the importance of quality control, especially in the field of turbomachinery. Therefore, in this study, an electrochemical defect analysis (EC-D) of additive manufactured components is introduced, performed and validated in comparison to a nondestructive X-ray testing of the same part. A test rig was developed, which allows an alternation between electrochemical machining and subsequent optical documentation of each removed layer. The documentation of the surface and the macroscopic defects in the AM-parts are captured by an integrated camera system.
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Parvez, Mohammad Masud, Musarrat Farzana Rahman, Shaikat M. Galib, and Frank Liou. "A Convolutional Neural Network (CNN) for Defect Detection of Additively Manufactured Parts." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70500.

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Abstract Additive manufacturing (AM), fundamentally different from traditional subtractive manufacturing techniques, is a layer-by-layer deposition process to fabricate parts with complex geometries. The formation of defects within AM components is a major concern for critical structural and cyclic loading applications. Understanding the mechanisms of defect formation and identifying the defects play an important role in improving the product lifecycle. While convolutional neural network (CNN) has already been demonstrated to be an effective deep learning tool for automated detection of defects for both conventional and AM processes, a network with optimized parameters including proper data processing and sampling can improve the performance of the architecture. In this study, for the detection of good deposition quality and defects such as lack of fusion, gas porosity, and cracks in a fusion-based AM process, a CNN architecture is presented comparing the classification report and evaluation of different architectural settings and obtaining the optimized result from them. The performance of the network was also compared with the results from the previous study. The overall accuracy (98%) for both training and testing the CNN network presented in this work transcends the current state of the art (92%) for AM defect detection.
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Santana, Mike, and Alfredo V. Herrera. "Methodology to Correlate Defect Reduction Systems to Electrical Test Data via Artificially Manufactured Defects." In ISTFA 2002. ASM International, 2002. http://dx.doi.org/10.31399/asm.cp.istfa2002p0587.

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Abstract This paper describes a methodology for correlating physical defect inspection/navigation systems with electrical bitmap data through the fabrication of artificial defects via reticle alterations or circuit modifications using an inline FIB. The methodology chosen consisted of altering decommissioned reticles to create defects resulting in both open and shorted circuits within areas of an AMD microprocessor cache. The reticles were subsequently scanned using a KLA SL300HR StarLight inspection system to confirm their location, while wafers processed on these reticles were scanned at several layers using standard inline metrology. Finally, the wafers were electrically tested, bitmapped, and physically deprocessed. All defect data was then analyzed and cross-correlated between each system, uncovering some important system deficiencies and learning opportunities. Data and images are included to support the significance and effectiveness of such a methodology.
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Jacobson, Erica M., Ian T. Cummings, Peter H. Fickenwirth, Eric B. Flynn, and Adam J. Wachtor. "Defect Detection in Additively Manufactured Metal Parts Using In-Situ Steady-State Ultrasonic Response Data." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24336.

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Abstract The increasing implementation of additively manufactured parts into safety-critical applications is accelerating the demand for non-destructive evaluation as a means of quality control for defect detection during the build process. Identification of a critical defect in the part before its completion can enable early termination of the build, resulting in both reduced material costs and machine time. Additionally, current post-build inspection techniques have limited resolution capability as the size of the manufactured part increases. An adaptation of Acoustic Wavenumber Spectroscopy technology was implemented into a laser powder bed fusion machine to perform in-situ direct-part measurements and provide a three-dimensional inspection volume of the entire build. The processing of data for each layer is quick enough to be performed during the lasing of the subsequent layer, enabling the potential for early termination of the build when critical defects are identified. Various processing techniques were used to detect changes in the steady-state ultrasonic response that indicate different defect types. The data analyses used to identify regions of defects based on the response data are presented. This work ultimately demonstrates a practical means for in-situ monitoring of additive manufacturing parts to ensure quality control for safety-critical applications.
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Pendyala, Sweta, Dave Albert, Katherine Hawkins, and Michael Tenney. "dC/dV and CV Characterization of Gate Resistance Defects in eDRAM Circuits." In ISTFA 2013. ASM International, 2013. http://dx.doi.org/10.31399/asm.cp.istfa2013p0255.

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Abstract Resistive gate defects are unusual and difficult to detect with conventional techniques [1] especially on advanced devices manufactured with deep submicron SOI technologies. An advanced localization technique such as Scanning Capacitance Imaging is essential for localizing these defects, which can be followed by DC probing, dC/dV, CV (Capacitance-Voltage) measurements to completely characterize the defect. This paper presents a case study demonstrating this work flow of characterization techniques.
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Li, Zongchen, Andre Gut, Iurii Burda, Silvain Michel, Dejan Romancuk, and Christian Affolter. "The Role of an Individual Lack-of-Fusion Defect in the Fatigue Performance of Additive Manufactured Ti-6Al-4V Part." In 2022 International Additive Manufacturing Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/iam2022-94120.

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Abstract Additive manufacturing techniques have made AM Ti-6Al-4V parts a reality in many industries. However, despite the optimism, their poor fatigue performance especially in high cycle regime is the major hurdle for the industry accepting it as mainstream. One of the reasons owes to the widely distributed internal defects inherent to the AM process, which create a hotbed for fatigue crack initiation. Available investigations on lack of fusions, regarded as the most detrimental defects, are very limited. Regarding this, we conducted finite element analysis to evaluate the fatigue performance of Ti-6Al-4V alloys with an individual lack-of-fusion defect. Three different lack-of-fusion defects, directly scanned from Selective Laser Melting Ti-6Al-4V coupons using Micro-Computed Tomography with different geometry features, have been numerically analyzed. We compare the mechanical results (e.g., stress, strain, and elastic stress concentration factors) of the lack-of-fusion defects to the results of gas-entrapped pores, which share the same height and the same volume, to reveal the detriment of lack-of-fusion defects. Furthermore, we conduct a parametric study on lack-of-fusion defects orientation and size, as well as the aspect ratios. The results provide a better understanding of the mechanical behavior of the lack-of-fusion defects in additive manufactured Ti-6Al-4V alloys, paving the way for further research of additive manufactured metallic alloys.
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Li, Yuzhuo, and Ning Wang. "Friction Behavior of CMP Slurries Based on Novel Organic Particles." In World Tribology Congress III. ASMEDC, 2005. http://dx.doi.org/10.1115/wtc2005-64023.

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With the integration of copper as interconnect and low k materials as dielectric, the CMP community is facing an ever increasing demand on reducing defectivity without scarifying production throughput. One such strategy is to significantly lower the polishing pressure to below 1 psi. Such a move has placed tremendous challenges to the tool manufactures, consumable suppliers (especially the slurry vendors), and end-users. It is a challenge to remain the high throughput (MRR and selectivity) at low down force without using harsh abrasives. For the first time, we recently report the use of novel hydrophilic organic particles for metal CMP. Unlike conventional abrasive particles such silica or alumina, these unique particles are designed to specifically interact with the metal surface to be polished and significantly modify the rheological behavior of the slurry. The obvious advantage of using such particles is the reduction of defects during CMP. The consequence of using such particles is also its ability to provide unsurpassed high selectivity in removal rate for copper over barrier and dielectric materials due to their weak interaction with these particles. The added benefit for slurry that uses such particles is to allow CMP process conducted at a lower down force without compromising the throughput. In this talk, some basic physical and chemical characteristics of the particles and slurry will be first presented. The friction beavior of these new slurries in relation to conventional slurries on blanket wafers will be discussed. The impact of particle hydrophobicity on the friction behviors of the slurries will be explored.
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Reports on the topic "Manufactures – Defects"

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Heifetz, Alexander, Xin Zhang, Jafar Saniie, Dmitry Shribak, Thomas W. Elmer, Brian Saboriendo, Sasan Bakhtiari, and William Cleary. Imaging of Calibrated Defects in Additively Manufactured Materials: Pulsed Thermal Tomography Nondestructive Examination of Additively Manufactured Reactor Materials and Components. Office of Scientific and Technical Information (OSTI), March 2020. http://dx.doi.org/10.2172/1617371.

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Taussig, Carl, Richard E. Elder, Warren B. Jackson, Albert Jeans, Mehrban Jam, Ed Holland, Hao Luo, John Maltabes, Craig Perlov, and Steven Trovinger. Defect Analysis of Roll-to-Roll SAIL Manufactured Flexible Display Backplanes. Fort Belvoir, VA: Defense Technical Information Center, January 2011. http://dx.doi.org/10.21236/ada549450.

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Fisher, Zoe, Dmitry Shribak, Victoria Ankel, and Alexander Heifetz. Modeling Nondestructive Defect Detection in Additively Manufactured Metallic Structures for Nuclear Applications. Office of Scientific and Technical Information (OSTI), October 2020. http://dx.doi.org/10.2172/1725821.

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Delwiche, Michael, Yael Edan, and Yoav Sarig. An Inspection System for Sorting Fruit with Machine Vision. United States Department of Agriculture, March 1996. http://dx.doi.org/10.32747/1996.7612831.bard.

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Concepts for real-time grading of fruits and vegetables were developed, including multi-spectral imaging with structured illumination to detect and distinguish surface defects from concavities. Based on these concepts, a single-lane conveyor and inspection system were designed and evaluated. Image processing algorithms were developed to inspect and grade large quasi-spherical fruits (peaches and apples) and smaller dried fruits (dates). Adjusting defect pixel thresholds to achieve a 25% error rate on good apples, classification errors for bruise, crack, and cut classes were 51%, 42%, and 46%, respectively. Comparable results for bruise, scar, and cut peach clases were 48%, 22%, and 58%, respectively. Acquiring more than two images of each fruit and using more than six lines of structured illumination per fruit would reduce sorting errors. Doing so, potential sorting error rates for bruise, crack, and cut apple classes were estimated to be 38%, 38%, and 33%, respectively. Similarly, potential error rates for the bruitse, scar, and cut peach classes were 9%, 3%, and 30%, respectively. Date size classification results were good: 68% within one size class and 98% within two size classes. Date quality classification results were not adequate due to the problem of blistering. Improved features were discussed. The most significant contribution of this research was the on-going collaboration with producers and equipment manufacturers, and the resulting transfer of research ideas to expedite the commercial application of machine vision for postharvest inspection and grading of agricultural products.
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Heifetz, Alexander, Xin Zhang, Jafar Saniie, and William Cleary. Detection of Defects in Additively Manufactured Metallic Materials with Machine Learning of Pulsed Thermography Images. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1673390.

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Heifetz, Alexander, Victoria Ankel, Dmitry Shribak, and Wei-Ying Chen. Performance of Pulsed Thermal Tomography Imaging with Machine Learning-Based Classification of Defects in Additively Manufactured Structures. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1823035.

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Heifetz, Alexander, J. G. Sun, Thomas W. Elmer, Dmitry Shribak, Brian Saboriendo, Sasan Bakhtiari, William Cleary, and Boris Khaykovich. PTT System Performance Evaluation in 3-D Imaging of Calibrated Defects: Pulsed Thermal Tomography Nondestructive Examination of Additively Manufactured Reactor Materials and Components. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1508637.

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Foley, W. J., R. S. Dean, and A. Hennick. Closeout of IE Bulletin 79-03: Longitudinal weld defects in ASME SA-312 Type 304 stainless steel pipe spools manufactured by Youngstown Welding and Engineering Co. Office of Scientific and Technical Information (OSTI), April 1989. http://dx.doi.org/10.2172/6344615.

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BALYSH, A., and O. CHIRICOVA. PROBLEMS OF PRODUCTION AND USE OF SHEALING SLEEVES IN THE USSR BEFORE AND DURING THE GREAT PATRIOTIC WAR. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2077-1770-2021-13-4-2-24-33.

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The aim of the article. One of the most interesting and topical problems in the USSR military industry development is the establishment and development of the USSR ammunition industry. The article is devoted to the study of one of the reasons for the poor supply of the Red Army by ammunition in the initial period of the war of 1941 - a lack of sleeves, which limited the production of artillery shells. The author sets the purpose of revealing the reasons for the unsatisfactory state of affairs in the field of manufacture by the industrial enterprises of the USSR industrial enterprises before the war, as well as the influence of this factor on the production and use of the sleeves during the war years. Methodology. General principles of historism and objectivity are the theoretical-methodological base of this work. Author also uses special historical methods: logic, systematic, chronological, actualisation and periodizing. Results. This article is based on documents storing in the Russian State Archive and Russian State Economical Archive. With the help of this documents and materials the author make the following decision: in 30th years of XX century in the USSR under forcing of industrial development the governmental bodies were not able to perform the efficient planning policy in the field of enterprises control especially in the defense branches. High-level personnel purposively disturbed technological process. It spoiled enterprises operation and it was the reason of defect production manufacturing. Practical application. Practical significance of this work is as follows: the archive data, which are for the first time used for scientific investigation and also the conclusions formulated in this article can be used for further scientific research of the USSR military industry in the industrialization period and on military production lend-lease during the Great Patriotic War and also in Soviet history in general.
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