Academic literature on the topic 'Manufactures Manufacturing industries Manufacturing industries Manufactures Task analysis'
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Journal articles on the topic "Manufactures Manufacturing industries Manufacturing industries Manufactures Task analysis"
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Gachenko, R. A., and A. B. Goryachev. "MODERN REQUIREMENTS TO INDUSTRIAL PRODUCTION AND PHARMACEUTICAL MANUFACTURE OF INFUSION MEDICINAL PREPARATIONS IN THE RUSSIAN FEDERATION: SIMILARITIES AND DIFFERENCES." Pharmacy & Pharmacology 6, no. 3 (July 16, 2018): 214–28. http://dx.doi.org/10.19163/2307-9266-2018-6-3-214-228.
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The quantitative reduction of the manufacturing pharmaceutical organizations significantly lowers public accessibility to medicinal preparations manufactured by pharmacies. The aim of this research has is the analysis of the normative legal standards regulating the industrial production and the pharmaceutical manufacture of infusion medicinal preparations in the territory of the Russian Federation. Materials and methods: The research has been carried out by the analysis of the current legislative and normative acts by means of documentary observation and content analysis. Results and discussion. Hereby the review has been done of the main acts along with normativelegal documentation regulating the industrial production and the pharmaceutical manufacture of infusion medicines such as federal laws, regulations of the Government of the Russian Federation, the State Pharmacopeia (Editions XI and XIII), orders of the Ministry of Health of the Russian Federation, etc. It has been established that in the Russian Federation there has been developed and currently functioning the system of mandatory requirements to industrial production and quality control of infusion medicinal preparations produced by manufacturing enterprises. At the same time, despite the restrictions on the pharmaceutical manufacture of the aseptic medicines registered in the Russian Federation, the pharmaceutical organizations implement manufacture of the medicines which are not produced industrially. That makes it possible to provide an individual dosage of ingredients and take into account patients’ individual characteristics. The normative legal regulation system for the pharmaceutical manufacture significantly differs from the similar system for the industrial production. The scientific discussion on the implementation of the international Rules of Good Manufacturing Practices (GMP) into pharmaceutical activities has not arrived at a unanimous organizational and technological opinion because of essentially different purposes, a diverse range of the undertaken tasks and dissimilar economic opportunities of pharmaceutical organizations and manufacturing enterprises. Conclusion: The currently existing normative legal regulation system for the industrial production and the pharmaceutical manufacture of infusion medicines in the Russian Federation is aimed at providing the national health services’ needs of necessary remedies for infusion therapy. At the same time, the pharmaceutical manufacture does not oppose the industrial production, but quite the contrary, expands public accessibility to such preparations for treatment in emergency or urgent cases and also during routine treatment of patients.
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Enemuoh, Emmanuel U., Stefan Duginski, Connor Feyen, and Venkata G. Menta. "Effect of Process Parameters on Energy Consumption, Physical, and Mechanical Properties of Fused Deposition Modeling." Polymers 13, no. 15 (July 22, 2021): 2406. http://dx.doi.org/10.3390/polym13152406.
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The application of the fused deposition modeling (FDM) additive manufacturing process has increased in the production of functional parts across all industries. FDM is also being introduced for industrial tooling and fixture applications due to its capabilities in building free-form and complex shapes that are otherwise challenging to manufacture by conventional methods. However, there is not yet a comprehensive understanding of how the FDM process parameters impact the mechanical behavior of engineered products, energy consumption, and other physical properties for different material stocks. Acquiring this information is quite a complex task, given the large variety of possible combinations of materials–additive manufacturing machines–slicing software process parameters. In this study, the knowledge gap is filled by using the Taguchi L27 orthogonal array design of experiments to evaluate the impact of five notable FDM process parameters: infill density, infill pattern, layer thickness, print speed, and shell thickness on energy consumption, production time, part weight, dimensional accuracy, hardness, and tensile strength. Signal-to-noise (S/N) ratio analysis and analysis of variance (ANOVA) were performed on the experimental data to quantify the parameters’ main effects on the responses and establish an optimal combination for the FDM process. The novelty of this work is the simultaneous evaluation of the effects of the FDM process parameters on the quality performances because most studies have considered one or two of the performances alone. The study opens an opportunity for multiobjective function optimization of the FDM process that can be used to effectively minimize resource consumption and production time while maximizing the mechanical and physical characteristics to fit the design requirements of FDM-manufactured products.
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Ahtiluoto, Matti, Asko Uolevi Ellman, and Eric Coatanea. "Model for Evaluating Additive Manufacturing Feasibility in End-Use Production." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 799–808. http://dx.doi.org/10.1017/dsi.2019.84.
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AbstractIn practical design work, a designer needs to consider the feasibility of a part for a manufacturing using additive manufacturing (AM) instead of conventional manufacturing (CM) technology. Traditionally and by default parts are assumed to be manufactured using CM and using AM as an alternative need to be justified. AM is currently often a more expensive manufacturing method than CM, but its employment can be justified due to number of reasons: improved part features, faster manufacturing time and lower cost. Improved part features means usually reduced mass or complex shape. However, in low volume production lower manufacturing time and lower part cost may rise to the most important characteristics.In this paper, we present a practical feasibility model, which analyses the added value of using AM for manufacturing. The approach is demonstrated in the paper on four specific parts. They represent real industrial design tasks that are ordered from an engineering office company. These parts were manufactured by Selective Laser Meting (SLM) technology and the original design done for conventional manufacturing is also presented and used for comparison purpose.
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Mendias, Michael, and Julie Sliter. "Pollution Prevention/Environmental Life Cycle Impact Analyses: Are Your Products Affected?" Journal of the IEST 37, no. 1 (January 1, 1994): 36–38. http://dx.doi.org/10.17764/jiet.2.37.1.x4014188k406g644.
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Pollution prevention is a concern to numerous industries. Aerospace manufacturers have a new challenge in the technical arena known as life cycle environmental engineering. The Department of Defense (DoD) now incorporates these requirements into its acquisition policies and directives. The focus is to minimize or eliminate the use of hazardous materials throughout the life cycle of future DoD products. This new and emerging technology necessitates that another element be added to the design, manufacturing, testing, and maintenance of DoD products. Aerospace industries must incorporate this task into their business objectives if they are to compete in today's defense marketplace. This paper answers questions concerning DoD directives and explains how companies can develop an approach to meeting these environmental life cycle requirements.
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Tiwari, Divya, Michael Farnsworth, Ze Zhang, Geraint W. Jewell, and Ashutosh Tiwari. "In-process monitoring in electrical machine manufacturing: A review of state of the art and future directions." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 235, no. 13 (May 12, 2021): 2035–51. http://dx.doi.org/10.1177/09544054211016675.
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Manual operations feature prominently in the manufacture of many electrical machines. Even though high-volume electrical machine manufacture is dominated by automation, several manufacturing operations continue to involve manual intervention because of the complexity of such operations makes them heavily reliant on high dexterity manual skills and experience. However, quality can be variable due to human involvement. Currently, in order to maintain a high precision of control and required tolerances of the final machine, inspection is performed at various steps during manufacturing and assembly. Detecting a defect at these end-of-line tests can result in significant wasted time and costs due to rework or scrappage. The solution to this problem lies in in-process monitoring particularly for error prone manual operations. This paper presents a literature review of the state-of-the-art available techniques and limitations in process monitoring within the context of electrical machine manufacturing. To quantify the degree of manual activities in process monitoring within electrical machine manufacture, a structured survey of UK based companies was conducted, identifying specific error prone manual processes to target, and gaps in inspection. The survey identified that a significant proportion of activities in electrical machine manufacture are manual, or semi-automated with manual interventions. However, literature review revealed only a limited research in in-process monitoring of manual operations in this area. Finally, two case studies are presented where case study 1 presents a framework for digitisation of a variety of manual manufacturing tasks, and case study 2 demonstrates real-time capture, modelling and analysis of deformable linear objects in electrical machine manufacturing.
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Thamaraiselvan, V., and N. Ramakrishnan. "Flexible Process Planning Design and Resource Optimization." Shanlax International Journal of Management 8, S1-Feb (February 26, 2021): 38–48. http://dx.doi.org/10.34293/management.v8is1-feb.3756.
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Manufacturing processes undergo various transformations based on technological advancements and industry expectations. At initial times, during the period of first Industrial revolution, products were getting manufactured using human capabilities and skills. Then, electrically-driven motors, machines and conveyors were used. Now in the fourth Industrial revolution, Industries are equipped with automation, robots and cyber-physical systems. But adopting such technologies requires a high capital investment which cannot be accommodated by some start-ups. In this research paper, a case of a start-up which manufactures straws and vessel scrubbers in an eco-friendly manner as an initiative towards sustainability has been discussed. The key product of the company is biodegradable straws which are manufactured from coconut leaves through a set of processes. The scope of the research is to develop a labour-intensive process planning model. Managing contemporary issues is a big task for the company because of the dynamic nature of the environment. In this case, the demand for straws changes based on customer preference and accordingly, the manufacturing processes need to be revised. Hence, developing a rigid planning model is not an effective solution, so that, flexible manufacturing process needs to be developed. There is always a scope of improvement towards betterment and optimization in a manufacturing process. It is not necessary that the improvements should lead to drastic results. Japanese manufactures who bring the Toyota Production System (TPS) believe that small improvements in a continual basis will fetch better results in terms of quality, efficiency and lead time reduction. Once the model is developed, areas of improvement to optimize the resources are found out and iterations of process planning model were carried over to improve the efficiency. Through the study, it is found that the development of a flexible process plan is required to compete with the changing business scenarios.
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Santi Wahyuningsih, Wiwit. "Analisis Daya Saing Ekspor Sektor Unggulan di Jawa Tengah." Economics Development Analysis Journal 6, no. 2 (March 15, 2018): 221–38. http://dx.doi.org/10.15294/edaj.v6i2.22220.
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Penelitian ini mengidentifikasi industri unggulan di Jawa Tengah yang mempunyai daya saing. Penelitian ini menggunakan data PDRB Jawa Tengah dan PDB Tahun 2010-2015, Tabel Input Output Jawa Tengah Tahun 2013, serta data Ekspor-Impor Jawa Tengah Tahun 1997-2015. Penelitian ini mengunakan alat analisis Indeks Daya Penyebaran (IDP), Indeks Derajat Kepekaan (IDK) dan Revealed Comparative Advantage (RCA). Dari hasil IDP dan IDK terdapat 9 industri unggulan di Jawa Tengah yaitu industri pengolahan dan pengawetan ikan, industri minyak dan lemak, industri penggilingan padi, industri tepung terigu dan tepung lainnya, industri makanan ternak, industri pemintalan, industri tekstil, industri kayu dan bahan bangunan dari kayu, serta industri karet dan barang dari karet. Hanya ada 3 industri yang memiliki daya saing ekspor tinggi yaitu industri dengan IDP>1, IDK>1 dan RCA>1 yang meliputi industri pemintalan, industri tekstil, dan industri kayu dan bahan bangunan dari kayu. Dari penelitian ini dapat disimpulkan bahwa sektor industri yang dapat diandalkan untuk meningkatkan pertumbuhan ekonomi melalui ekspor dan memiliki daya saing ekspor yang sangat bagus serta memilki harga jual tinggi yaitu hanya industri pemintalan, industri tekstil, dan industri kayu dan bahan bangunan dari kayu. Maka dari itu sebaiknya kebijakan pemerintah lebih ditekankan pada sektor hulu dan sektor hilir dari industri-industri tersebut.
This research identify the leading manufactures in central Java which have the export competitiveness. This study used data of Central Java’s Gross Domestic Regional Product (GDRP) and Gross National Product (GNP) on 2010-2015, Input Output Table on 2013, as well as export-import on 1997-2015. This research rely on Forward Linkage Index (FLI), Backward Linkage Index (BLI) and Revealed Comparative Advantage (RCA) analysis tools. There are 9 leading manufacturing industries conducted from the result. Those manufactures are processing and preserving fish industry, oils and fats industry, rice milling industry, wheat flour industry, live and fock feeds industry, knitting industry, textile industry, wood and products of wood industry, and rubber and products of rubber industry. Only 3 industries that have the high export competitiveness. These industries have Forward Linkage Index (FLI)>1, Backward Linkage Index (BLI) >1, and RCA>1 consisting knitting industry, textile industry, and wood and products of wood industry. From this study, it can be concluded that the reliable manufacturing sectors to boot the economy growth through exports, having a good export competitiveness as well as high selling prices are those 3 industries. Therefore the emphasize of goverment policy should be on the upstream and down stream sectors of these industries.
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Sahu, Nitin Kumar, Atul Kumar Sahu, and Anoop Kumar Sahu. "Cluster approach integrating weighted geometric aggregation operator to appraise industrial robot." Kybernetes 47, no. 3 (March 5, 2018): 487–524. http://dx.doi.org/10.1108/k-11-2016-0332.
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Purpose Robot appraisement under various dimensions and directions is a crucial issue in real-time manufacturing scenario. Logistic robots are programable-independent movable devices capable of transporting stuffs in a logistic cycle. The purpose of this paper is to opt for the most economical robot under chains of criteria, which is always considered as a sizzling issue in an industrial domain. Design/methodology/approach The authors proposed a cluster approach, i.e. ratio analysis, reference point analysis and full mutification form, embedded type-2 fuzzy sets with weighted geometric aggregation operator (WGAO) to tackle the elected problem of industrial robot. The motive to use WGAO coupled with type-2 fuzzy sets is to effectively undertake the uncertainty associated with comprehensive information of professionals against defined dimensions. Furthermore, the cluster approach is used to carry out the comparative analysis for evaluating robust scores against candidate robot’s manufacturing firms, considering 59 crucial beneficial and non-beneficial dimensions. A case research study is carried out to demonstrate the validity of the proposed approach. Findings The most challenging task in real-time manufacturing scenario is robot selection for a particular industrial application. This problem has become more complex in recent years because of advanced features and facilities that are continuously being incorporated into the robots by different manufacturers. In the past decade, robots have been selected in accordance with cost criteria excluding other beneficial criteria, which results in declined product quality, customer’s expectation, ill productivity, higher deliver time, etc. The proposed research incorporates the aforesaid issues and provides the various important attributes needed to be considered for the optimum evaluation and selection of industrial robots. Research limitations/implications The need for changes in the technological dimensions (speed, productivity, navigation, upgraded product demands, etc.) of robot was encountered as a hardship work for managers to take wise decision dealing with a wide range of availability of robot types and models with distinct features in the manufacturing firms. The presented work aids the managers in taking their decisions effectively while dealing with the aforesaid circumstances. Originality/value The proposed work suggests chains of dimensions (59 crucial beneficial and non-beneficial dimensions) that can be used by managers to measure the economic worth of robot to carry out logistic activities in updated manufacturing environment. The proposed work evolves as an effective cluster approach-embedded type-2 fuzzy sets with WGAO to assess manufacturing firms under availability of low information.
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Labayen, Miguel Fernández, and Ana Martín Morán. "Manufacturing proximity through film remakes: Remake rights representatives and the case of local-language comedy remakes." Communications 44, no. 3 (September 25, 2019): 282–303. http://dx.doi.org/10.1515/commun-2019-2058.
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AbstractThis article analyzes the industrial and cultural dynamics of transnational film remakes, focusing on the recent rise of remake rights representatives and the production of comedy remakes for local-language markets. Through the use of in-depth interviews with remake rights representatives and the analysis of primary and secondary sources, we scrutinize the strategies of these players in mediating the production processes of remaking foreign popular films into local-language hits. The article takes on two tasks: First, it dissects the work of the different agents at play in buying and selling remake rights and examines their business models and tactics; second, it looks at the generic contents that these agents are circulating through selected catalogs. In this context, comedy becomes a privileged interface to link diverse national markets and manufacture an ideal of proximity, whereby foreign popular comedies – unknown to local audiences – are remade with a local flavor and presented as ‘new’ national hits.
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Su, Rung-Hung, Ming-Wei Weng, Chih-Te Yang, and Hsin-Ting Li. "An Imperfect Production–Inventory Model with Mixed Materials Containing Scrap Returns Based on a Circular Economy." Processes 9, no. 8 (July 24, 2021): 1275. http://dx.doi.org/10.3390/pr9081275.
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The implementation of scrap recovery activities has been shown to improve the financial performance of many firms, and this kind of circular economy (CE) is particularly evident in industries with green manufacturing (GM). In this paper, we consider an imperfect multiple-stage production system that manufactures paired products made from mixed materials containing scrap returns, in which the scrap returns are converted from defective products. The feed rates of scrap returns for two products are different, and the product with the higher feed rate is placed in the second order of the process to avoid unlimited accumulation of scrap returns. The proposed problem is formulated as a joint economic order quantity (EOQ) and economic production quantity (EPQ) model aimed at cost minimization. The decision variables of the proposed model include the production run time of two products, order quantity of new material, and the extent of investment in converted equipment. We also prove that the optimal solution exists uniquely and provide an algorithm for the computation of the optimal solution. Finally, a numerical example involving the pulp and paper manufacturing industry is provided to illustrate the solution process, and the results of its sensitivity analysis are also presented to show some managerial implications.
Books on the topic "Manufactures Manufacturing industries Manufacturing industries Manufactures Task analysis"
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United States. Congress. House. Committee on the Budget. Task Force on Urgent Fiscal Issues. Loss of manufacturing jobs: Impact on our future ability to compete in the global market : hearing before the Task Force on Urgent Fiscal Issues of the Committee on the Budget, House of Representatives, One Hundred Second Congress, second session, hearing held in Washington, DC, September 24, 1992. Washington: U.S. G.P.O., 1992.
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Türk Sanayicileri ve İş Adamları Derneği., ed. Türkiye'nin üretim yapısı: Girdi-çıktı modeli ile temel bulgular. Tepebaşı, İstanbul: Türk Sananyicileri ve İşadamları Derneği, 2005.
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Loss of manufacturing jobs: Impact on our future ability to compete in the global market : hearing before the Task Force on Urgent Fiscal Issues of the Committee on the Budget, House of Representatives, One Hundred Second Congress, second session, hearing held in Washington, DC, September 24, 1992. Washington: U.S. G.P.O., 1992.
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Vargas-Bernal, Rafael. "Advances in Rechargeable Batteries and Supercapacitors Based on Metal-Organic Frameworks." In Emerging Applications and Implementations of Metal-Organic Frameworks, 36–55. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4760-1.ch003.
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An analysis of the contribution that metal-organic frameworks (MOFs) have made to the development of energy storage devices over the past two decades such as rechargeable batteries and supercapacitors is presented here. This chapter reviews the different versions of electrode manufacturing based on metal-organic frameworks to be used in the design and manufacture of rechargeable batteries and supercapacitors. The MOFs examined in this chapter include those based on MOF-derived materials, MOF-based composites, and conductive MOFs. Despite the significant progress that has been achieved so far, many tasks must be made to reach total security so that performance parameters required for optimal performance of rechargeable batteries and supercapacitors in commercial, industrial, and military applications. Therefore, innovative conceptions of the actions that must be performed are explored in this chapter.
Conference papers on the topic "Manufactures Manufacturing industries Manufacturing industries Manufactures Task analysis"
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Kangru, Tavo, Kashif Mahmood, Tauno Otto, Madis Moor, and Jüri Riives. "Knowledge-Driven Based Performance Analysis of Robotic Manufacturing Cell for Design Improvement." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23541.
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Abstract Manufacturing companies must ensure high productivity and low production cost in rapidly changing market conditions. At the same time products and services are evolving permanently. In order to cope with those circumstances, manufacturers should apply the principles of smart manufacturing together with continuous processes improvement. Smart manufacturing is a concept where production is no longer highly labor-intensive and based only on flexible manufacturing systems, but production as a whole process should be monitored and controlled with sophisticated information technology, integrated on all stages of the product life cycle. Process improvements in Smart Manufacturing are heavily reliance on decisions, which can be achieved by using modeling and simulation of systems with different analyzing tools based on Big Data processing and Artificial Intelligence (AI) technologies. This study was performed to automate an estimation process and improve the accuracy for production cell’s performance evaluation. Although there have been researches performed in the same field, the substantial estimation process outcome and accuracy still need to be elaborated further. In this article a robot integrated production cell simulation framework is developed. A developed system is used to simulate production cell parametric models in the real-life situations. A set of rules and constraints are created and inserted into the simulation model. Data for the constraints were acquired by investigating industries’ best production cells performance parameters. Information was gathered in four main fields: company profile and strategy, cell layout and equipment, manufactured products process data and shortcomings of goal achievements or improvement necessary to perform. From those parametric case model, a 3D virtual manufacturing simulation model is built and simulated for achieving accurate results. The integration of manufacturing data into decision making process through advanced prescriptive analytics models is a one of the future tasks of this study. The integration makes it possible to use “best practice” data and obtained Key Performance Indicators (KPIs) results to find the optimal solutions in real manufacturing conditions. The objective is to find the best solution of robot integrated cell for a certain industry using AI enabled simulation model. It also helps to improve situation assessment and deliberated decision-making mechanism.
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Trainer, Asa, Thomas Hedberg, Allison Barnard Feeney, Kevin Fischer, and Phil Rosche. "Gaps Analysis of Integrating Product Design, Manufacturing, and Quality Data in the Supply Chain Using Model-Based Defintion." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8792.
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Advances in information technology triggered a digital revolution that holds promise of reduced costs, improved productivity, and higher quality. To ride this wave of innovation, manufacturing enterprises are changing how product definitions are communicated — from paper to models. To achieve industry’s vision of the Model-Based Enterprise (MBE), the MBE strategy must include model-based data interoperability from design to manufacturing and quality in the supply chain. The Model-Based Definition (MBD) is created by the original equipment manufacturer (OEM) using Computer-Aided Design (CAD) tools. This information is then shared with the supplier so that they can manufacture and inspect the physical parts. Today, suppliers predominantly use Computer-Aided Manufacturing (CAM) and Coordinate Measuring Machine (CMM) models for these tasks. Traditionally, the OEM has provided design data to the supplier in the form of two-dimensional (2D) drawings, but may also include a three-dimensional (3D)-shape-geometry model, often in a standards-based format such as ISO 10303-203:2011 (STEP AP203). The supplier then creates the respective CAM and CMM models and machine programs to produce and inspect the parts. In the MBE vision for model-based data exchange, the CAD model must include product-and-manufacturing information (PMI) in addition to the shape geometry. Today’s CAD tools can generate models with embedded PMI. And, with the emergence of STEP AP242, a standards-based model with embedded PMI can now be shared downstream. The on-going research detailed in this paper seeks to investigate three concepts. First, that the ability to utilize a STEP AP242 model with embedded PMI for CAD-to-CAM and CAD-to-CMM data exchange is possible and valuable to the overall goal of a more efficient process. Second, the research identifies gaps in tools, standards, and processes that inhibit industry’s ability to cost-effectively achieve model-based-data interoperability in the pursuit of the MBE vision. Finally, it also seeks to explore the interaction between CAD and CMM processes and determine if the concept of feedback from CAM and CMM back to CAD is feasible. The main goal of our study is to test the hypothesis that model-based-data interoperability from CAD-to-CAM and CAD-to-CMM is feasible through standards-based integration. This paper presents several barriers to model-based-data interoperability. Overall, the project team demonstrated the exchange of product definition data between CAD, CAM, and CMM systems using standards-based methods. While gaps in standards coverage were identified, the gaps should not stop industry’s progress toward MBE. The results of our study provide evidence in support of an open-standards method to model-based-data interoperability, which would provide maximum value and impact to industry.
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Parham, J. L., Y. B. Guo, and W. H. Sutton. "Structural Integrity of Hydrogen Storage Tanks at Pre-Stressing and Operating Pressures." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80114.
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With the fuel prices reaching record highs and ever-increasing tighter environmental policies, hydrogen-powered vehicles have great potential to substantially increase overall fuel economy, reduce vehicle emissions, and decrease dependence on foreign oil imports. While hydrogen fuel is exciting for automotive industries due to its potentials of significant technical and economic advantages, design and manufacture safe and reliable hydrogen tanks is recognized as the number one priority in hydrogen technology development and deployment. Real life testing of tank performance is extremely useful, but very time consuming, expensive, and lacks a rigorous scientific basis, which prohibits the development of a more reliable hydrogen tank. However, very few testing and simulation results can be found in public literature. This paper focused on the development of an efficient finite element analysis (FEA) tool to provide a more economical alternative for hydrogen tank analysis, though it may not be an all-out replacement for physical testing. A FEA model has been developed for the hydrogen tank with 6061-T6 aluminum liner and carbon-fiber/epoxy shell to investigate the tank integrity at pre-stresses of 45.5 MPa, 70 MPa, and 105 MPa and operating pressures of 35 MPa, 70 MPa, and 105 MPa. The residual stresses induced by different pre-stresses are at the equivalent level in the middle section but vary significantly in other tank sections. Residual stress magnitudes may saturate at a certain pre-stress level. In contrast, the residual strains in the middle section increases with pre-stress. The simulation results indicate that the optimal pre-stress level depends on the specific operating pressure to enhance tank integrity. A certain area of the neck and the top and bottom domes also experiences peak stress and strain at pre-stressing and regular operating pressures. The research findings may help manufacturing industries to build safety into manufacturing practices of hydrogen storage infrastructures.
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Klinger, Alexander, and Brian A. Weiss. "Robotic Work Cell Test Bed to Support Measurement Science for Monitoring, Diagnostics, and Prognostics." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6617.
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Industrial robotics users, integrators, and manufacturers are implementing advanced monitoring, diagnostics, and prognostics (collectively known as Prognostics and Health Management (PHM)) techniques and technologies. PHM can take many different forms when implemented, and measures of effectiveness are highly dependent on the techniques implemented. A test bed has been built, and a use case designed, to represent common manufacturing tasks performed in robot work cells where PHM can provide greater equipment and process health intelligence. The physical and functional relationships within the work cell are mapped using a hierarchical deconstruction method to gain a better understanding of the propagation of effects of both equipment and process degradation. The test bed has been built so PHM techniques and technologies can be integrated and tested in a realistic scenario. Data is recorded for post processing and analysis for the verification and validation (V&V) of the implemented PHM techniques. The test bed will serve as a platform to develop, test, verify, and validate PHM techniques at the National Institute of Standards and Technology (NIST), and provide industry participants a standard platform for testing their PHM technologies. Having a common testing platform will provide industry a foundation for sets of tests to evaluate PHM. This paper presents the test bed and use case, the relationships therein, and the data management and collection approaches used to enable future research.
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Krishnababu, Senthil, Omar Valero, and Roger Wells. "AI Assisted High Fidelity Multi-Physics Digital Twin of Industrial Gas Turbines." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-58925.
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Abstract Data driven technologies are revolutionising the engineering sector by providing new ways of performing day to day tasks through the life cycle of a product as it progresses through manufacture, to build, qualification test, field operation and maintenance. Significant increase in data transfer speeds combined with cost effective data storage, and ever-increasing computational power provide the building blocks that enable companies to adopt data driven technologies such as data analytics, IOT and machine learning. Improved business operational efficiency and more responsive customer support provide the incentives for business investment. Digital twins, that leverages these technologies in their various forms to converge physics and data driven models, are therefore being widely adopted. A high-fidelity multi-physics digital twin, HFDT, that digitally replicates a gas turbine as it is built based on part and build data using advanced component and assembly models is introduced. The HFDT, among other benefits enables data driven assessments to be carried out during manufacture and assembly for each turbine allowing these processes to be optimised and the impact of variability or process change to be readily evaluated. On delivery of the turbine and its associated HFDT to the service support team the HFDT supports the evaluation of in-service performance deteriorations, the impact of field interventions and repair and the changes in operating characteristics resulting from overhaul and turbine upgrade. Thus, creating a cradle to grave physics and data driven twin of the gas turbine asset. In this paper, one branch of HFDT using a power turbine module is firstly presented. This involves simultaneous modelling of gas path and solid using high fidelity CFD and FEA which converts the cold geometry to hot running conditions to assess the impact of various manufacturing and build variabilities. It is shown this process can be executed within reasonable time frames enabling creation of HFDT for each turbine during manufacture and assembly and for this to be transferred to the service team for deployment during field operations. Following this, it is shown how data driven technologies are used in conjunction with the HFDT to improve predictions of engine performance from early build information. The example shown, shows how a higher degree of confidence is achieved through the development of an artificial neural network of the compressor tip gap feature and its effect on overall compressor efficiency.
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Machado, Michael, Raul Fangueiro, Daniel Barros, Luís Nobre, João Bessa, Fernando Cunha, João Silva, and João Sousa. "Build Time Analysis of Additive Manufacturing for Next Generation SLS Systems." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24017.
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Abstract With the recent advances in the additive manufacturing (AM) production technologies, AM is becoming more common in today’s industry, nowadays is a normal practice to use this solution either to test a new prototype or to manufacture a functional product. The increase application is mainly due to significant developments in the production solutions of the AM. These recent developments are resulting in an increase search for new and more efficient production solutions. This search is always focused in producing more efficiently, with a greater variety of materials and produce part with better quality and proprieties. From an industrial point of view, one of the types of additive manufacturing that is increasing the percentage of use is the selective laser sintering (SLS) technologies. Although this process was first used in the mid-80’s, it has shown great developments in the recent years. This evolution of the process allowed it to become a solid solution even if it is highly time consuming, especially when compared with other types of addictive manufacturing. From the several aspects that make the SLS a robust solution is the fact that it offers a consistent solution to produce high complex part with good mechanical properties, and also the ability to use many core materials, from polymers, metal alloy, ceramics or even composites materials. Due to the fact that the production of part using SLS technologies takes a long time, shows the relevance to study the entire process in order to quantify the time spent in each stage a very important step. This study can be conducted with two major goals, in one hand to be able to predict the build time needed to complete a predetermined task, and in other hand, to improve the overall efficiency of the process based on the knowledge acquired in the previous analysis. These two aspects are important because they allow the machine operator to choose the production plan more carefully and also to know all the parameters of the process to make it more efficient. In this paper will be presented a survey of the major stages of a SLS process in order to quantify the time consumed in each one of the stages, and if possible, determine solution to reduce the time spent. To better understand the topic the paper will be divided according to the proprieties and time consumed in each of the elements of the process. In other words, it will be divided accordingly to a machine, laser and material point of view. Furthermore, this paper will be focused in the SLS process and the productions based in a polymeric powder, therefore also containing aspects related to the power source used.