The Experts below are selected from a list of 176637 Experts worldwide ranked by ideXlab platform
Shawn P. Moylan - One of the best experts on this subject based on the ideXlab platform.
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a review on Measurement Science needs for real time control of additive manufacturing metal powder bed fusion processes
International Journal of Production Research, 2017Co-Authors: Mahesh Mani, Shaw C. Feng, Brandon M. Lane, Alkan Donmez, Shawn P. MoylanAbstract:Additive manufacturing technologies are increasingly used in the development of new products. However, variations in part quality in terms of material properties, dimensional tolerances, surface roughness and defects limit its broader acceptance. Process control today based on heuristics and experimental data yields limited improvement in part quality. In an effort to identify the needed Measurement Science for real-time closed-loop control of additive manufacturing (AM) processes, this paper presents a literature review on the current AM control schemes, process Measurements and modelling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. We present our research findings to identify the correlations between process parameters, process signatures and product quality. We also present research recommendations on the key control issues to serve as a technical basis for standards development in this area. Complimentary deta...
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Measurement Science needs for real-time control of additive manufacturing powder-bed fusion processes
Additive Manufacturing Handbook: Product Development for the Defense Industry, 2017Co-Authors: Mahesh Mani, Chethan Kamath, Wayne E. King, Alkan Donmez, Adedeji B. Badiru, David Liu, Shawn P. Moylan, Brandon Lane, Shaw Feng, Chandrika Kamath, N. E. Hodge, R. M. Ferencz, Andrew T. Anderson, Vhance V. Valencia, Ronnie Fesperman, Saad A Khairallah, Alexander M RubenchikAbstract:A341Additive Manufacturing is increasingly used in the development of new products: from conceptual design to functional parts and tooling. However, today, variability in part quality due to inadequate dimensional tolerances, surface roughness, and defects, limits its broader acceptance for high-value or mission-critical applications. While process control in general can limit this variability, it is impeded by a lack of adequate process Measurement methods. Process control today is based on heuristics and experimental data, yielding limited improvement in part quality. The overall goal is to develop the Measurement Science necessary to make in-process Measurement and real-time control possible in additive manufacturing. Traceable dimensional and thermal metrology methods must be developed for real-time closed-loop control of additive manufacturing processes. As a precursor, this report presents a review on the additive manufacturing control schemes, process Measurements, and modeling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. The aim of the review is to identify and summarize the Measurement Science needs that are critical to real-time process control. We organize our research findings to identify the correlations between process parameters, process signatures, and product quality. The intention of this report is to serve as a background reference and a go-to place for our work to identify the most suitable Measurement methods and corresponding measurands for real-time control.
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A review on Measurement Science needs for real-time control of additive manufacturing metal powder bed fusion processes
International Journal of Production Research, 2017Co-Authors: Mahesh Mani, Shaw C. Feng, M. Alkan Donmez, Brandon M. Lane, Shawn P. MoylanAbstract:© 2016 Informa UK Limited, trading as Taylor & Francis Group. Additive manufacturing technologies are increasingly used in the development of new products. However, variations in part quality in terms of material properties, dimensional tolerances, surface roughness and defects limit its broader acceptance. Process control today based on heuristics and experimental data yields limited improvement in part quality. In an effort to identify the needed Measurement Science for real-time closed-loop control of additive manufacturing (AM) processes, this paper presents a literature review on the current AM control schemes, process Measurements and modelling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. We present our research findings to identify the correlations between process parameters, process signatures and product quality. We also present research recommendations on the key control issues to serve as a technical basis for standards development in this area. Complimentary details to this paper with summary tables, range of values, preliminary correlations and correlation figures can be accessed from a National Institute of Standards and Technology Report (http://nvlpubs.nist.gov/nistpubs/ir/2015/NIST.IR.8036.pdf). This paper is developed based on the report.
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Measurement Science Needs for Real-time Control of Additive Manufacturing Powder Bed Fusion Processes Mahesh Mani
National Institute of, 2015Co-Authors: Mani Mahesh, Shaw Feng, Brandon Lane, Shawn P. Moylan, Alkan Donmez, Ronnie FespermanAbstract:A341Additive Manufacturing is increasingly used in the development of new products: from conceptual design to functional parts and tooling. However, today, variability in part quality due to inadequate dimensional tolerances, surface roughness, and defects, limits its broader acceptance for high-value or mission-critical applications. While process control in general can limit this variability, it is impeded by a lack of adequate process Measurement methods. Process control today is based on heuristics and experimental data, yielding limited improvement in part quality. The overall goal is to develop the Measurement Science necessary to make in-process Measurement and real-time control possible in additive manufacturing. Traceable dimensional and thermal metrology methods must be developed for real-time closed-loop control of additive manufacturing processes. As a precursor, this report presents a review on the additive manufacturing control schemes, process Measurements, and modeling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. The aim of the review is to identify and summarize the Measurement Science needs that are critical to real-time process control. We organize our research findings to identify the correlations between process parameters, process signatures, and product quality. The intention of this report is to serve as a background reference and a go-to place for our work to identify the most suitable Measurement methods and corresponding measurands for real-time control.
Mahesh Mani - One of the best experts on this subject based on the ideXlab platform.
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a review on Measurement Science needs for real time control of additive manufacturing metal powder bed fusion processes
International Journal of Production Research, 2017Co-Authors: Mahesh Mani, Shaw C. Feng, Brandon M. Lane, Alkan Donmez, Shawn P. MoylanAbstract:Additive manufacturing technologies are increasingly used in the development of new products. However, variations in part quality in terms of material properties, dimensional tolerances, surface roughness and defects limit its broader acceptance. Process control today based on heuristics and experimental data yields limited improvement in part quality. In an effort to identify the needed Measurement Science for real-time closed-loop control of additive manufacturing (AM) processes, this paper presents a literature review on the current AM control schemes, process Measurements and modelling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. We present our research findings to identify the correlations between process parameters, process signatures and product quality. We also present research recommendations on the key control issues to serve as a technical basis for standards development in this area. Complimentary deta...
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Measurement Science needs for real-time control of additive manufacturing powder-bed fusion processes
Additive Manufacturing Handbook: Product Development for the Defense Industry, 2017Co-Authors: Mahesh Mani, Chethan Kamath, Wayne E. King, Alkan Donmez, Adedeji B. Badiru, David Liu, Shawn P. Moylan, Brandon Lane, Shaw Feng, Chandrika Kamath, N. E. Hodge, R. M. Ferencz, Andrew T. Anderson, Vhance V. Valencia, Ronnie Fesperman, Saad A Khairallah, Alexander M RubenchikAbstract:A341Additive Manufacturing is increasingly used in the development of new products: from conceptual design to functional parts and tooling. However, today, variability in part quality due to inadequate dimensional tolerances, surface roughness, and defects, limits its broader acceptance for high-value or mission-critical applications. While process control in general can limit this variability, it is impeded by a lack of adequate process Measurement methods. Process control today is based on heuristics and experimental data, yielding limited improvement in part quality. The overall goal is to develop the Measurement Science necessary to make in-process Measurement and real-time control possible in additive manufacturing. Traceable dimensional and thermal metrology methods must be developed for real-time closed-loop control of additive manufacturing processes. As a precursor, this report presents a review on the additive manufacturing control schemes, process Measurements, and modeling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. The aim of the review is to identify and summarize the Measurement Science needs that are critical to real-time process control. We organize our research findings to identify the correlations between process parameters, process signatures, and product quality. The intention of this report is to serve as a background reference and a go-to place for our work to identify the most suitable Measurement methods and corresponding measurands for real-time control.
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A review on Measurement Science needs for real-time control of additive manufacturing metal powder bed fusion processes
International Journal of Production Research, 2017Co-Authors: Mahesh Mani, Shaw C. Feng, M. Alkan Donmez, Brandon M. Lane, Shawn P. MoylanAbstract:© 2016 Informa UK Limited, trading as Taylor & Francis Group. Additive manufacturing technologies are increasingly used in the development of new products. However, variations in part quality in terms of material properties, dimensional tolerances, surface roughness and defects limit its broader acceptance. Process control today based on heuristics and experimental data yields limited improvement in part quality. In an effort to identify the needed Measurement Science for real-time closed-loop control of additive manufacturing (AM) processes, this paper presents a literature review on the current AM control schemes, process Measurements and modelling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. We present our research findings to identify the correlations between process parameters, process signatures and product quality. We also present research recommendations on the key control issues to serve as a technical basis for standards development in this area. Complimentary details to this paper with summary tables, range of values, preliminary correlations and correlation figures can be accessed from a National Institute of Standards and Technology Report (http://nvlpubs.nist.gov/nistpubs/ir/2015/NIST.IR.8036.pdf). This paper is developed based on the report.
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Sustainability characterisation for manufacturing processes
International Journal of Production Research, 2014Co-Authors: Mahesh Mani, Jatinder Madan, Kevin W. Lyons, Satyandra K. GuptaAbstract:Manufacturing industries lack the Measurement Science and the needed information base to measure and effectively compare environmental performances of manufacturing processes, across resources and associated services with respect to sustainability. The current use of ad hoc methods and tools to assess and describe sustainability of manufactured products does not necessarily account for manufacturing processes explicitly, and hence results in inaccurate and ambiguous comparisons. Such comparisons do not proactively contribute to sustainability improvement. Further, we identified that there are no formal methods for acquiring and exchanging information that help establish a consolidated sustainability information base. Our ultimate goal is to develop the needed Measurement Science and methodology to evaluate sustainability of fundamental manufacturing processes to ensure reliable and consistent comparisons. As a precursor, based on a literature study, this paper identifies the required elements to evaluate ...
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Characterizing Sustainability for Manufacturing Performance Assessment
Volume 2: 32nd Computers and Information in Engineering Conference Parts A and B, 2012Co-Authors: Mahesh Mani, Jatinder Madan, Kevin W. Lyons, Satyandra K. GuptaAbstract:Manufacturing industries lack the Measurement Science and the needed information base to measure and effectively compare performance of manufacturing processes, resources and associated services with respect to sustainability. The current use of ad-hoc methods and tools to assess and describe sustainability of manufactured products do not account for manufacturing processes explicitly and hence results in inaccurate and ambiguous comparisons. Further, there are no formal methods for acquiring and exchanging information that help establish a consolidated sustainability information base. Our goal is to develop the needed Measurement Science and methodology that will enable manufacturers to evaluate sustainability performance of fundamental manufacturing processes ensuring reliable and consistent comparisons. In this paper, we propose and discuss a methodology for sustainability characterization to bridge the Measurement Science and the needed information base for sustainable manufacturing. This will set the stage for manufacturers to objectively assess and compare different manufacturing processes for sustainability.Copyright © 2012 by ASME
Alkan Donmez - One of the best experts on this subject based on the ideXlab platform.
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a review on Measurement Science needs for real time control of additive manufacturing metal powder bed fusion processes
International Journal of Production Research, 2017Co-Authors: Mahesh Mani, Shaw C. Feng, Brandon M. Lane, Alkan Donmez, Shawn P. MoylanAbstract:Additive manufacturing technologies are increasingly used in the development of new products. However, variations in part quality in terms of material properties, dimensional tolerances, surface roughness and defects limit its broader acceptance. Process control today based on heuristics and experimental data yields limited improvement in part quality. In an effort to identify the needed Measurement Science for real-time closed-loop control of additive manufacturing (AM) processes, this paper presents a literature review on the current AM control schemes, process Measurements and modelling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. We present our research findings to identify the correlations between process parameters, process signatures and product quality. We also present research recommendations on the key control issues to serve as a technical basis for standards development in this area. Complimentary deta...
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Measurement Science needs for real-time control of additive manufacturing powder-bed fusion processes
Additive Manufacturing Handbook: Product Development for the Defense Industry, 2017Co-Authors: Mahesh Mani, Chethan Kamath, Wayne E. King, Alkan Donmez, Adedeji B. Badiru, David Liu, Shawn P. Moylan, Brandon Lane, Shaw Feng, Chandrika Kamath, N. E. Hodge, R. M. Ferencz, Andrew T. Anderson, Vhance V. Valencia, Ronnie Fesperman, Saad A Khairallah, Alexander M RubenchikAbstract:A341Additive Manufacturing is increasingly used in the development of new products: from conceptual design to functional parts and tooling. However, today, variability in part quality due to inadequate dimensional tolerances, surface roughness, and defects, limits its broader acceptance for high-value or mission-critical applications. While process control in general can limit this variability, it is impeded by a lack of adequate process Measurement methods. Process control today is based on heuristics and experimental data, yielding limited improvement in part quality. The overall goal is to develop the Measurement Science necessary to make in-process Measurement and real-time control possible in additive manufacturing. Traceable dimensional and thermal metrology methods must be developed for real-time closed-loop control of additive manufacturing processes. As a precursor, this report presents a review on the additive manufacturing control schemes, process Measurements, and modeling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. The aim of the review is to identify and summarize the Measurement Science needs that are critical to real-time process control. We organize our research findings to identify the correlations between process parameters, process signatures, and product quality. The intention of this report is to serve as a background reference and a go-to place for our work to identify the most suitable Measurement methods and corresponding measurands for real-time control.
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Measurement Science Needs for Real-time Control of Additive Manufacturing Powder Bed Fusion Processes Mahesh Mani
National Institute of, 2015Co-Authors: Mani Mahesh, Shaw Feng, Brandon Lane, Shawn P. Moylan, Alkan Donmez, Ronnie FespermanAbstract:A341Additive Manufacturing is increasingly used in the development of new products: from conceptual design to functional parts and tooling. However, today, variability in part quality due to inadequate dimensional tolerances, surface roughness, and defects, limits its broader acceptance for high-value or mission-critical applications. While process control in general can limit this variability, it is impeded by a lack of adequate process Measurement methods. Process control today is based on heuristics and experimental data, yielding limited improvement in part quality. The overall goal is to develop the Measurement Science necessary to make in-process Measurement and real-time control possible in additive manufacturing. Traceable dimensional and thermal metrology methods must be developed for real-time closed-loop control of additive manufacturing processes. As a precursor, this report presents a review on the additive manufacturing control schemes, process Measurements, and modeling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. The aim of the review is to identify and summarize the Measurement Science needs that are critical to real-time process control. We organize our research findings to identify the correlations between process parameters, process signatures, and product quality. The intention of this report is to serve as a background reference and a go-to place for our work to identify the most suitable Measurement methods and corresponding measurands for real-time control.
Alexander M Rubenchik - One of the best experts on this subject based on the ideXlab platform.
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Measurement Science needs for real-time control of additive manufacturing powder-bed fusion processes
Additive Manufacturing Handbook: Product Development for the Defense Industry, 2017Co-Authors: Mahesh Mani, Chethan Kamath, Wayne E. King, Alkan Donmez, Adedeji B. Badiru, David Liu, Shawn P. Moylan, Brandon Lane, Shaw Feng, Chandrika Kamath, N. E. Hodge, R. M. Ferencz, Andrew T. Anderson, Vhance V. Valencia, Ronnie Fesperman, Saad A Khairallah, Alexander M RubenchikAbstract:A341Additive Manufacturing is increasingly used in the development of new products: from conceptual design to functional parts and tooling. However, today, variability in part quality due to inadequate dimensional tolerances, surface roughness, and defects, limits its broader acceptance for high-value or mission-critical applications. While process control in general can limit this variability, it is impeded by a lack of adequate process Measurement methods. Process control today is based on heuristics and experimental data, yielding limited improvement in part quality. The overall goal is to develop the Measurement Science necessary to make in-process Measurement and real-time control possible in additive manufacturing. Traceable dimensional and thermal metrology methods must be developed for real-time closed-loop control of additive manufacturing processes. As a precursor, this report presents a review on the additive manufacturing control schemes, process Measurements, and modeling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. The aim of the review is to identify and summarize the Measurement Science needs that are critical to real-time process control. We organize our research findings to identify the correlations between process parameters, process signatures, and product quality. The intention of this report is to serve as a background reference and a go-to place for our work to identify the most suitable Measurement methods and corresponding measurands for real-time control.
Brandon M. Lane - One of the best experts on this subject based on the ideXlab platform.
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a review on Measurement Science needs for real time control of additive manufacturing metal powder bed fusion processes
International Journal of Production Research, 2017Co-Authors: Mahesh Mani, Shaw C. Feng, Brandon M. Lane, Alkan Donmez, Shawn P. MoylanAbstract:Additive manufacturing technologies are increasingly used in the development of new products. However, variations in part quality in terms of material properties, dimensional tolerances, surface roughness and defects limit its broader acceptance. Process control today based on heuristics and experimental data yields limited improvement in part quality. In an effort to identify the needed Measurement Science for real-time closed-loop control of additive manufacturing (AM) processes, this paper presents a literature review on the current AM control schemes, process Measurements and modelling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. We present our research findings to identify the correlations between process parameters, process signatures and product quality. We also present research recommendations on the key control issues to serve as a technical basis for standards development in this area. Complimentary deta...
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A review on Measurement Science needs for real-time control of additive manufacturing metal powder bed fusion processes
International Journal of Production Research, 2017Co-Authors: Mahesh Mani, Shaw C. Feng, M. Alkan Donmez, Brandon M. Lane, Shawn P. MoylanAbstract:© 2016 Informa UK Limited, trading as Taylor & Francis Group. Additive manufacturing technologies are increasingly used in the development of new products. However, variations in part quality in terms of material properties, dimensional tolerances, surface roughness and defects limit its broader acceptance. Process control today based on heuristics and experimental data yields limited improvement in part quality. In an effort to identify the needed Measurement Science for real-time closed-loop control of additive manufacturing (AM) processes, this paper presents a literature review on the current AM control schemes, process Measurements and modelling and simulation methods as it applies to the powder bed fusion process, though results from other processes are reviewed where applicable. We present our research findings to identify the correlations between process parameters, process signatures and product quality. We also present research recommendations on the key control issues to serve as a technical basis for standards development in this area. Complimentary details to this paper with summary tables, range of values, preliminary correlations and correlation figures can be accessed from a National Institute of Standards and Technology Report (http://nvlpubs.nist.gov/nistpubs/ir/2015/NIST.IR.8036.pdf). This paper is developed based on the report.
