Academic literature on the topic 'Manufacturing Engineering not elsewhere classified'
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Journal articles on the topic "Manufacturing Engineering not elsewhere classified"
Farid, A. M., and D. C. McFarlane. "Production degrees of freedom as manufacturing system reconfiguration potential measures." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222, no. 10 (October 1, 2008): 1301–14. http://dx.doi.org/10.1243/09544054jem1056.
Full textGaranča, Biruta. "THE STRUCTURE OF MACHINERY BUILDING IN LATGALE AND PERSPECTIVES OF ITS DEVELOPMENT." Latgale National Economy Research 1, no. 1 (June 30, 2009): 53. http://dx.doi.org/10.17770/lner2009vol1.1.1761.
Full textReynolds, Elisabeth B., and Hiram Samel. "Manufacturing Startups." Mechanical Engineering 135, no. 11 (November 1, 2013): 36–41. http://dx.doi.org/10.1115/1.2013-nov-2.
Full textHe, Fei, and Hai Ping Zhu. "The Complexity in Assembly Manufacturing System." Advanced Materials Research 834-836 (October 2013): 1770–75. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1770.
Full textBennett, David. "Future challenges for manufacturing." Journal of Manufacturing Technology Management 25, no. 1 (January 28, 2014): 2–6. http://dx.doi.org/10.1108/jmtm-10-2013-0153.
Full textLiu, Jun, Yan Qian, and Ya Wen An. "The Research on Classified Construction Mode of Manufacturing Enterprise Logistics Informatization." Advanced Materials Research 694-697 (May 2013): 3492–97. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.3492.
Full textGoh, Chiew Loon, Ruzairi Abdul Rahim, and Mohd Hafiz Fazalul Rahiman. "Process tomography of gas-liquid flow in a vessel: a review." Sensor Review 36, no. 3 (June 20, 2016): 287–302. http://dx.doi.org/10.1108/sr-08-2015-0134.
Full textRangel, Estellito, and Roberval Bulgarelli. "That's classified." IEEE Industry Applications Magazine 13, no. 3 (May 2007): 17–24. http://dx.doi.org/10.1109/mia.2007.353661.
Full textFarid, A. M. "Facilitating ease of system reconfiguration through measures of manufacturing modularity." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222, no. 10 (October 1, 2008): 1275–88. http://dx.doi.org/10.1243/09544054jem1055.
Full textKhalil, Omnia. "The Afterlives of Cairenes: the Making of New Social Geographies from Elsewhere than Bulaq Abule’lla." Égypte/Monde arabe, no. 23 (December 2, 2021): 27–43. http://dx.doi.org/10.4000/ema.14739.
Full textDissertations / Theses on the topic "Manufacturing Engineering not elsewhere classified"
Zhang, Yumin. "Virtual manufacturing - a study of some important issues relating to the transformation of traditional manufacturing organisations." Thesis, Aston University, 2006. http://publications.aston.ac.uk/12237/.
Full textSandberg, Marcus. "Design for manufacturing : methods and applications using knowledge engineering." Doctoral thesis, Luleå : Luleå, Department of Applied Physics and Mechanical Engineering, Division of Functional Product Development, Luleå University of Technology, 2007. http://epubl.ltu.se/1402-1544/2007/59/.
Full text(9776462), A. K. M. Shamsul Akan. "Abrasion failure of lining rubber on agitator blades in the leaching circuit of mineral processing industries." Thesis, 2005. https://figshare.com/articles/thesis/Abrasion_failure_of_lining_rubber_on_agitator_blades_in_the_leaching_circuit_of_mineral_processing_industries/13420268.
Full text(6661946), Jeremy Wayne Byrd. "PREDICTIVE MAINTENANCE PRACTICES & STANDARDS." 2019.
Find full textManufacturing today is increasingly competitive and every organization around the world is looking to decrease costs. Maintenance costs generated an average of 28 percent of total manufacturing cost at the Fiat Chrysler Indiana Transmission Plant One in 2018, states Rex White, Head Maintenance Planner at Fiat Chrysler (2018). Maintenance is a supportive expense that does not generate a profit, which makes maintenance an attractive expense to decrease. The cost for components and skilled labor are expensive; however, the downtime is exponentially a larger threat to production cost. One most feared scenarios within a manufacturing facility is that one machine takes down several as it backs up the entire production process.
The three major types of maintenance are reactive, preventive, and
predictive. The research project focused on applying the principles of
predictive maintenance to the Fiat Chrysler facilities in Indiana. The report explains
the techniques and principles of applying the technology currently available to
reduce downtime and maintenance cost. The predictive maintenance procedures and
saving are compared with reactive and preventive methods to determine a value
of return. The report will examine the benefits of using the Internet of Things
technology to create autonomous self-diagnosing smart machines. The predictive
maintenance plan in this research illustration will introduce health check
equipment used to implement longer lasting machine components. In conclusion,
the project developed out an entire predictive maintenance plan to reduce
downtime and maintenance costs.
(9828950), Tabassum Rasheed. "Scale growth study in a concentric reducer: Measurement of instantaneous velocity using Particle Image Velocimetry." Thesis, 2005. https://figshare.com/articles/thesis/Scale_growth_study_in_a_concentric_reducer_Measurement_of_instantaneous_velocity_using_Particle_Image_Velocimetry/13423016.
Full text(8740677), Jeremy Sickmiller. "REAL TIME CONTROL OF MANUFACTURING UTILIZING A MANUFACTURING EXECUTION SYSTEM (MES)." Thesis, 2020.
Find full text(8065976), Kanjakha Pal. "Process Intensification Enabling Direct Compression for Pharmaceutical Manufacturing: From Spherical Agglomeration to Precise Control of Co-Agglomeration." Thesis, 2019.
Find full textHsiao, Yu-Chan Helen. "A framework of university incubator to maintain financial sustainability." 2008. http://arrow.unisa.edu.au:8081/1959.8/42985.
Full text(5930069), Mariana Moreno. "Robust Process Monitoring for Continuous Pharmaceutical Manufacturing." Thesis, 2019.
Find full textRobust process monitoring in real-time is a challenge for Continuous Pharmaceutical Manufacturing. Sensors and models have been developed to help to make process monitoring more robust, but they still need to be integrated in real-time to produce reliable estimates of the true state of the process. Dealing with random and gross errors in the process measurements in a systematic way is a potential solution. In this work, we present such a systematic framework, which for a given sensor network and measurement uncertainties will predict the most likely state of the process. As a result, real-time process decisions, whether for process control, exceptional events management or process optimization can be based on the most reliable estimate of the process state.
Data reconciliation (DR) and gross error detection (GED) have been developed to accomplish robust process monitoring. DR and GED mitigate the effects of random measurement errors and non-random sensor malfunctions. This methodology has been used for decades in other industries (i.e., Oil and Gas), but it has yet to be applied to the Pharmaceutical Industry. Steady-state data reconciliation (SSDR) is the simplest forms of DR but offers the benefits of short computational times. However, it requires the sensor network to be redundant (i.e., the number of measurements has to be greater than the degrees of freedom).
In this dissertation, the SSDR framework is defined and implemented it in two different continuous tableting lines: direct compression and dry granulation. The results for two pilot plant scales via continuous direct compression tableting line are reported in this work. The two pilot plants had different equipment and sensor configurations. The results for the dry granulation continuous tableting line studies were also reported on a pilot-plant scale in an end-to-end operation. New measurements for the dry granulation continuous tableting line are also proposed in this work.
A comparison is made for the model-based DR approach (SSDR-M) and the purely data-driven approach (SSDR-D) based on the use of principal component constructions. If the process is linear or mildly nonlinear, SSDR-M and SSDR-D give comparable results for the variables estimation and GED. The reconciled measurement values generate using SSDR-M satisfy the model equations and can be used together with the model to estimate unmeasured variables. However, in the presence of nonlinearities, the SSDR-M and SSDR-D will differ. SSDR successfully estimates the real state of the process in the presence of gross errors, as long as steady-state is maintained and the redundancy requirement is met. Gross errors are also detected whether using SSDR-M or SSDR-D.
(9726050), Onkar V. Sonur. "The Sustainable Manufacturing System Design Decomposition." Thesis, 2020.
Find full textBooks on the topic "Manufacturing Engineering not elsewhere classified"
Britain, Great. Miscellaneous Manufacturing Not Elsewhere Classified. Stationery Office Books, 1996.
Find full textBook chapters on the topic "Manufacturing Engineering not elsewhere classified"
Zhao, Qiu-yun, Le Wei, and Hong-ping Shu. "Research on Credibility Support Mechanism of Manufacturing Cloud Service Based on Classified QoS." In Proceedings of the 5th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2014), 67–70. Paris: Atlantis Press, 2015. http://dx.doi.org/10.2991/978-94-6239-100-0_12.
Full textRashidifar, Rasoul, F. Frank Chen, Hamed Bouzary, and Mohammad Shahin. "A Mathematical Model for Cloud-Based Scheduling Using Heavy Traffic Limit Theorem in Queuing Process." In Lecture Notes in Mechanical Engineering, 197–206. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_20.
Full textBalasubramanian, K. R., V. Senthilkumar, and Divakar Senthilvel. "Introduction to Additive Manufacturing." In Advances in Civil and Industrial Engineering, 1–24. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-4054-1.ch001.
Full textPan, Chi Chun, Carolyn Kim, Jiannan Li, Elaine Lui, Brett Salazar, Stuart B. Goodman, and Yunzhi P. Yang. "Bioprinting for Bone Tissue Engineering." In Additive Manufacturing in Biomedical Applications, 1–9. ASM International, 2022. http://dx.doi.org/10.31399/asm.hb.v23a.a0006854.
Full textSuresh, Ganzi. "Advancements in Manufacturing Technology With Additive Manufacturing and Its Context With Industry 4.0." In Handbook of Research on Advancements in Manufacturing, Materials, and Mechanical Engineering, 1–24. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4939-1.ch001.
Full textKandasamy, Jayakrishna, Aravind Raj Sakthivel, Vimal K. E. K., V. Sharath Kumar Reddy, and Babulal K. S. "Application of Cluster Analysis for Identifying Potential Automotive Organizations Towards the Conduct of Green Manufacturing Sustainability Studies." In Handbook of Research on Green Engineering Techniques for Modern Manufacturing, 309–22. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5445-5.ch017.
Full textRai, Chinthan, Shashank Bhanuprakash, Babak Kianian, and Jan-Eric Ståhl. "Additive Manufacturing Decision Support Systems: A Systematic Literature Review Discerning Current and Future Directions." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220174.
Full textMaji, Kuntal. "Pulsed Laser Micro-Forming of Thin Sheets." In Handbook of Research on Advancements in Manufacturing, Materials, and Mechanical Engineering, 337–57. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4939-1.ch016.
Full textVasantha, Gokula, David Purves, Jonathan Corney, Michael Canavan, John Quigley, and Andrew Sherlock. "Towards Predictive Design: Tracking a CNC Fixture Design Process to Identify the Requirements." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220589.
Full textRenna, Paolo. "A Review of Research of Coordination Approaches in Distributed Production Systems." In Advances in Civil and Industrial Engineering, 93–112. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2098-8.ch006.
Full textConference papers on the topic "Manufacturing Engineering not elsewhere classified"
Zhao, Qiuyun, Le Wei, and Hongping Shu. "Research on Credibility Support Mechanism of Manufacturing Cloud Service Based on Classified QoS." In 5th International Asia Conference on Industrial Engineering and Management Innovation (IEMI 2014). Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/iemi-14.2014.10.
Full textRuan, Jianzhong, Jun Zhang, and F. W. Liou. "Support Structures Extraction for Hybrid Layered Manufacturing." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dac-21098.
Full textShibutani, Tadahiro, Tetsu Tsuruga, Qiang Yu, and Masaki Shiratori. "Interface Strength Between Sub-Micron Thin Films in Opening and Sliding Delamination Modes." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-39631.
Full textLall, Pradeep, Vikalp Narayan, Jim Blanche, and Mark Strickland. "Effect of Manufacturing Process Parameters on Property Evolution of Printed Circuit Board Laminates." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-93057.
Full textAtiqullah, Mir M., Aaron R. Cowin, Ed M. Ising, Terrance K. Kelly, and K. Ravindra. "Development of a Sophomore Manufacturing Laboratory Course to Streamline the Manufacturing Education Within Mechanical Engineering Curriculum." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61935.
Full textSun, Chun-Hua. "Algorithm of Non-Interference Tool Path Generation for Manufacturing Integral Impeller." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57650.
Full textMamros, Elizabeth M., Matthew C. Eaton, Jinjin Ha, and Brad L. Kinsey. "Numerical Analysis of SS316L Biaxial Cruciform Specimens Under Proportional Loading Paths." In ASME 2021 16th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/msec2021-59877.
Full textYoshimura, Masataka, and Hideyuki Kondo. "Group Decision Making in Product Design and Manufacturing." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/dac-3729.
Full textZhao, Jie, Yongxiang Hu, and Zhenqiang Yao. "Laser Induced Forward Transfer: Topography Dependence of Laser Fluence and Thickness for Titanium Film." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6587.
Full textLee, Pil-Ho, Haseung Chung, Sang Won Lee, Jeongkon Yoo, and Jeonghan Ko. "Review: Dimensional Accuracy in Additive Manufacturing Processes." 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/msec2014-4037.
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