Academic literature on the topic 'Manufacturing processes Energy consumption Data processing'
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Journal articles on the topic "Manufacturing processes Energy consumption Data processing"
Zhang, Chaoyang, Juchen Zhang, Weixi Ji, and Wei Peng. "Data Acquisition Network Configuration and Real-Time Energy Consumption Characteristic Analysis in Intelligent Workshops for Social Manufacturing." Machines 10, no. 10 (October 10, 2022): 923. http://dx.doi.org/10.3390/machines10100923.
Full textJones, Lewis C. R., Nicholas Goffin, Jinglei Ouyang, Nazanin Mirhossein, Jiaji Xiong, Yufeng Li, Lin Li, et al. "Laser specific energy consumption: How do laser systems compare to other manufacturing processes?" Journal of Laser Applications 34, no. 4 (November 2022): 042029. http://dx.doi.org/10.2351/7.0000790.
Full textIten, Muriel, Miguel Oliveira, Diogo Costa, and Jochen Michels. "Water and Energy Efficiency Improvement of Steel Wire Manufacturing by Circuit Modelling and Optimisation." Energies 12, no. 2 (January 11, 2019): 223. http://dx.doi.org/10.3390/en12020223.
Full textWillenbacher, Martina, Jonas Scholten, and Volker Wohlgemuth. "Machine Learning for Optimization of Energy and Plastic Consumption in the Production of Thermoplastic Parts in SME." Sustainability 13, no. 12 (June 16, 2021): 6800. http://dx.doi.org/10.3390/su13126800.
Full textIngarao, Giuseppe, Paolo C. Priarone, Francesco Gagliardi, Rosa di Lorenzo, and Luca Settineri. "Environmental Comparison between a Hot Extrusion Process and Conventional Machining Processes through a Life Cycle Assessment Approach." Key Engineering Materials 622-623 (September 2014): 103–10. http://dx.doi.org/10.4028/www.scientific.net/kem.622-623.103.
Full textIndzere, Zane, Kevin D. Manzano Martinez, Tereza Bezrucko, Zauresh Khabdullina, Ivars Veidenbergs, and Dagnija Blumberga. "Energy Efficiency Improvement in Thawing." Environmental and Climate Technologies 24, no. 2 (September 1, 2020): 221–30. http://dx.doi.org/10.2478/rtuect-2020-0068.
Full textBrooks, Christopher, Mark Swainson, Ian Beauchamp, Isabel Campelos, Ruzaina Ishak, and Wayne Martindale. "Transformational Steam Infusion Processing for Resilient and Sustainable Food Manufacturing Businesses." Foods 10, no. 8 (July 30, 2021): 1763. http://dx.doi.org/10.3390/foods10081763.
Full textYu, Hui Jun, Zhi Wei Zhou, Cai Biao Chen, and Ju Hui Gu. "Design of Locomotive Intelligent Watt Hour Meter Based on STM32." Applied Mechanics and Materials 672-674 (October 2014): 1205–9. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1205.
Full textGirdu, Constantin Cristinel, and Catalin Gheorghe. "Energy Efficiency in CO2 Laser Processing of Hardox 400 Material." Materials 15, no. 13 (June 26, 2022): 4505. http://dx.doi.org/10.3390/ma15134505.
Full textSoulis, Spyridon, George Konstantopoulos, Elias P. Koumoulos, and Costas A. Charitidis. "Impact of Alternative Stabilization Strategies for the Production of PAN-Based Carbon Fibers with High Performance." Fibers 8, no. 6 (May 26, 2020): 33. http://dx.doi.org/10.3390/fib8060033.
Full textDissertations / Theses on the topic "Manufacturing processes Energy consumption Data processing"
Jiang, Sheng. "Processing rate and energy consumption analysis for additive manufacturing processes : material extrusion and powder bed fusion." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111753.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 111-116).
Additive technologies have given birth to an expanding industry now worth 5.1 billion dollars. It has been adopted widely in design and prototyping as well as manufacturing fields. Compared to conventional technologies, additive manufacturing technologies provides opportunity to print unique complex-shaped geometries. However, it also suffers from slow production rate and high energy consumption. Improving the rate and energy becomes an important issue to make additive manufacturing competitive with conventional technologies. Among all the different limiting factors including printing strategy, heat transfer and mechanical movement limitations, heat transfer is the fundamental limiting barrier preventing further improvement the production rate. This thesis looks at the heat transfer mechanisms in material extrusion and powder bed fusion processes. In all the models developed for these two processes, processing rate is bounded by an adiabatic rate limit at which all the input energy is perfectly utilized to heat up the material to its molten/flowable state. In material extrusion, fused deposition technology suffers low throughput due to poor conductive heat transfer, big area additive manufacturing technology achieves high throughput by introducing viscous heating at the cost of resolution. In powder bed fusion, due to the intensive laser heating, the process window is limited to ensure high density material while avoid excessive evaporation. Further study quantifies the inefficiency from heat transfer mechanisms which leads to lower processing rates than the adiabatic rate limit. Energy consumption for material extrusion and powder bed fusion machines are reviewed to evaluate significance of energy consumed to heat up the material. For fused deposition technology, most of the energy is consumed by environment heating; while for powder bed fusion technology, laser unit takes the most energy. Life cycle energy consumption for products made with powder bed fusion process is compared with same/similar parts made from conventional manufacturing processes to explore scenarios in which manufacturing with additive technologies is less energy intensive.
by Sheng Jiang.
S.M.
Books on the topic "Manufacturing processes Energy consumption Data processing"
1936-, Hamel Bernard B., and Hedman Bruce A. 1950-, eds. Energy analysis of 108 industrial processes. [Atlanta, Ga: Fairmont Press, 1985.
Find full textGlobal Innovations Symposium (4th 2003 San Diego, Calif.). Energy efficient manufacturing processes: Proceedings of the technical sessions presented at the 132nd TMS Annual Meeting : San Diego, California, USA, March 2-6, 2003 : TMS Material Processing and Manufacturing Division Global Innovations Symposium. Warrendale, Pa: TMS, 2003.
Find full text1950-, Cipriano Aldo, and Ordys A. W. 1956-, eds. Optimisation of industrial processes at supervisory level: Application to control of thermal power plants. London: Springer, 2002.
Find full textSaez, Doris A., Aldo Cipriano, and Andrzej W. Ordys. Optimisation of Industrial Processes at Supervisory Level: Application to Control of Thermal Power Plants (Advances in Industrial Control). Springer, 2001.
Find full textBook chapters on the topic "Manufacturing processes Energy consumption Data processing"
Mühlbauer, Matthias, Hubert Würschinger, Dominik Polzer, and Nico Hanenkamp. "Energy Profile Prediction of Milling Processes Using Machine Learning Techniques." In Machine Learning for Cyber Physical Systems, 1–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-62746-4_1.
Full textWicaksono, Hendro, Tina Boroukhian, and Atit Bashyal. "A Demand-Response System for Sustainable Manufacturing Using Linked Data and Machine Learning." In Dynamics in Logistics, 155–81. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88662-2_8.
Full textSchmitt, Thomas, Pavani Sakaray, Lars Hanson, Matías Urenda Moris, and Kaveh Amouzgar. "Frequent and Automatic Monitoring of Resource Data via the Internet of Things." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220127.
Full textM. Fadayini, Oluwafemi, Clement Madu, Taiwo T. Oshin, Adekunle A. Obisanya, Gloria O. Ajiboye, Tajudeen O. Ipaye, Taiwo O. Rabiu, Joseph T. Akintola, Shola J. Ajayi, and Nkechi A. Kingsley. "Energy and Economic Comparison of Different Fuels in Cement Production." In Cement Industry - Optimization, Characterization and Sustainable Application. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96812.
Full textChang, Kuo-Chi, Kai-Chun Chu, Hsiao-Chuan Wang, Yuh-Chung Lin, Tsui-Lien Hsu, and Yu-Wen Zhou. "Study on IoT and Big Data Analysis of 12” 7 nm Advanced Furnace Process Exhaust Gas Leakage." In Linked Open Data - Applications, Trends and Future Developments. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.92849.
Full textKuppusamy, Elamvazhuthi, and Kailash Mariappan. "Integration of Operation Technology (OT) and Information Technology (IT) Through Intelligent Automation in Manufacturing Industries." In Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210050.
Full textTabaa, Mohamed, Safa Saadaoui, Mouhamad Chehaitly, Aamre Khalil, Fabrice Monteiro, and Abbas Dandache. "Industrial IoT Using Wavelet Transform." In Wavelet Theory. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.93879.
Full textSolona, Olena, and Ihor Kupchuk. "DEVELOPMENT OF A FUNCTIONAL MODEL OF A VIBRATING MILL WITH ADAPTIVE CONTROL SYSTEM OF MODE PARAMETERS." In Modernization of research area: national prospects and European practices. Publishing House “Baltija Publishing”, 2022. http://dx.doi.org/10.30525/978-9934-26-221-0-12.
Full textConference papers on the topic "Manufacturing processes Energy consumption Data processing"
Muroyama, Alexander, Mahesh Mani, Kevin Lyons, and Bjorn Johansson. "Simulation and Analysis for Sustainability in Manufacturing Processes." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47327.
Full textWang, Xingtao, Robert E. Williams, Michael P. Sealy, Prahalada Rao, and Yuebin Guo. "Stochastic Modeling and Analysis of Spindle Energy Consumption During Hard Milling With a Focus on Tool Wear." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6511.
Full textBharambe, Ganesh, Prakash Dabeer, Kumar Digambar Sapate, and Suresh M. Sawant. "Energy Savings for Sustainability of Machining Process." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-53295.
Full textNordlund, Alec, Rachel McAfee, Rebecca Ledsham, and Joshua Gess. "Cooling of High Powered GPUs Using Liquid Nitrogen Cold Plates Made With Additive Manufacturing." In ASME 2021 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/ipack2021-74108.
Full textFehrenbacher, Axel, Joshua R. Schmale, Michael R. Zinn, and Frank E. Pfefferkorn. "Tool-Workpiece Interface Temperature Measurement in Friction Stir Welding." In ASME 2012 International Manufacturing Science and Engineering Conference collocated with the 40th North American Manufacturing Research Conference and in participation with the International Conference on Tribology Materials and Processing. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/msec2012-7326.
Full textKalla, Devi K., Samantha Corcoran, Janet Twomey, and Michael Overcash. "Energy Consumption in Discrete Part Production." In ASME 2011 International Manufacturing Science and Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/msec2011-50163.
Full textSong, Ruoyu, Yanglong Lu, Cassandra Telenko, and Yan Wang. "Manufacturing Energy Consumption Estimation Using Machine Learning Approach." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67679.
Full textSun, Zeyi, Donghai Wang, Lin Li, and Meng Zhang. "Relationship Investigation Between Energy Consumption and Parameters in Size Reduction and Pelleting Processes of Biofuel Manufacturing." In ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/msec2014-4010.
Full textMuhammad, Moin, Saja Al Balushi, and Carrie Murtland. "Harvesting Geothermal Energy from Produced Reservoir Fluids Eliminates CO2 Emission from Production Facility Operations." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22313-ea.
Full textMa, Junfeng, Wenmeng Tian, and Morteza Alizadeh. "Data Driven Modeling and Optimization for Energy Efficiency in Additive Manufacturing Process With Geometric Accuracy Consideration." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85642.
Full textReports on the topic "Manufacturing processes Energy consumption Data processing"
Wada, Yasutaka. Working Paper PUEAA No. 3. Parallel Processing and Parallelizing Compilation Techniques for "Green Computing". Universidad Nacional Autónoma de México, Programa Universitario de Estudios sobre Asia y África, 2022. http://dx.doi.org/10.22201/pueaa.001r.2022.
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