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Titlebook: Recent Trends in Mechanical Engineering; Select Proceedings o Ambrish Maurya,Anmesh Kumar Srivastava,Shailesh Ma Conference proceedings 202

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發(fā)表于 2025-3-21 19:49:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Recent Trends in Mechanical Engineering
副標(biāo)題Select Proceedings o
編輯Ambrish Maurya,Anmesh Kumar Srivastava,Shailesh Ma
視頻videohttp://file.papertrans.cn/824/823477/823477.mp4
叢書名稱Lecture Notes in Mechanical Engineering
圖書封面Titlebook: Recent Trends in Mechanical Engineering; Select Proceedings o Ambrish Maurya,Anmesh Kumar Srivastava,Shailesh Ma Conference proceedings 202
描述.This book contains the select papers presented at the International Conference on Progressive Research in Industrial & Mechanical Engineering (PRIME 2021), held at the National Institute of Technology (NIT) Patna, India. The book discusses various aspects related and relevant to core areas of mechanical engineering including engineering design, production engineering, industrial engineering, automobile engineering, thermal and fluids engineering, mechatronics, control and robotics and other inter-disciplinary emerging topics for potential use in a spectrum of applications. The book will be a valuable reference for students, researchers and professionals interested in mechanical engineering and allied fields..
出版日期Conference proceedings 2023
關(guān)鍵詞Thermal & Fluids Engineering; Design Engineering; Mechatronics, Control and Robotics; Manufacturing and
版次1
doihttps://doi.org/10.1007/978-981-19-7709-1
isbn_softcover978-981-19-7708-4
isbn_ebook978-981-19-7709-1Series ISSN 2195-4356 Series E-ISSN 2195-4364
issn_series 2195-4356
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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978-981-19-7708-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-22 07:46:32 | 只看該作者
Recent Trends in Mechanical Engineering978-981-19-7709-1Series ISSN 2195-4356 Series E-ISSN 2195-4364
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Multi-objective Optimization of Green Drilling Parameters on HcHcr Steel Using GRA-TOPSIS with PCA ev and drill diameters 8?mm and using TOPSIS-PCA point angle 136°; Spindle speed 900?rpm; feed rate 0.8?mm/rev and drill diameters 8?mm. Further, analysis of variance is performed on grey grade value (in case of GRA-PCA) and observed that the drill diameter is highly influential process parameters w
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An Artificial Neural Network-Based Expert System for Bi-directional Prediction of the Parameters ofe been developed, envisaging Levenberg–Marquardt training algorithm in order to achieve a bi-directional predictive capability for a set of 3 inputs and 12 responses. Optimal network parameters like initial weight and hidden layer neurons have been determined by validation performance while training
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Emission Characteristics of Split Injection System in Low-Temperature Combustion Diesel Engine: A R carried out for different split injection schemes in these LTC modes has been presented in the current research work. All these modern strategies and advancements in the split injection system are investigated and compared to expose and evaluate their strengths and weaknesses to arrive at a promine
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