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Journal articles on the topic 'Energy-efficient machining'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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1

Peng, Tao, and Xun Xu. "Energy-efficient machining systems: a critical review." International Journal of Advanced Manufacturing Technology 72, no. 9-12 (2014): 1389–406. http://dx.doi.org/10.1007/s00170-014-5756-0.

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2

Denkena, Berend, Patrick Helmecke, and Lars Hülsemeyer. "Energy efficient machining of Ti–6Al–4V." CIRP Annals 64, no. 1 (2015): 61–64. http://dx.doi.org/10.1016/j.cirp.2015.04.056.

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3

Newman, S. T., A. Nassehi, R. Imani-Asrai, and V. Dhokia. "Energy efficient process planning for CNC machining." CIRP Journal of Manufacturing Science and Technology 5, no. 2 (2012): 127–36. http://dx.doi.org/10.1016/j.cirpj.2012.03.007.

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4

Pawanr, Shailendra, and Kapil Gupta. "A Review on Recent Advances in the Energy Efficiency of Machining Processes for Sustainability." Energies 17, no. 15 (2024): 3659. http://dx.doi.org/10.3390/en17153659.

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The pursuit of energy efficiency in machining processes is a critical aspect of sustainable manufacturing. A significant portion of global energy consumption is by the industrial sector; thus, improving the energy efficiency of machining processes can lead to substantial environmental and economic benefits. The present study reviews the recent advancement made for improving the energy efficiency of machining processes. First the energy consumption of the machining processes was explored and then the key areas and developments in their energy consumption modeling were identified. Following this

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5

Liu, Dawei, Wei Wang, and Lihui Wang. "Energy-Efficient Cutting Parameters Determination for NC Machining with Specified Machining Accuracy." Procedia CIRP 61 (2017): 523–28. http://dx.doi.org/10.1016/j.procir.2016.11.215.

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6

Kausar, Zareena, Muhammad Faizan Shah, Zeeshan Masood, et al. "Energy Efficient Parallel Configuration Based Six Degree of Freedom Machining Bed." Energies 14, no. 9 (2021): 2642. http://dx.doi.org/10.3390/en14092642.

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The process of material removal from a workpiece to obtain the desired shape is termed machining. Present-day material removal technologies have high spindle speeds and thus allow quick material removal. These high-speed spindles are highly exposed to vibrations and, as a result, the accuracy of the final workpiece’s dimensions is compromised. To overcome this problem, the motion of the tool is restricted, and multiple degrees of freedom are given through the motion of the workpiece in different axes. A machining bed configured as a parallel manipulator capable of giving six degrees of freedom

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7

Bliedtner, Jens, Thomas Schmidt, Hartmut Müller, and Sabine Sändig. "Energy-efficient Laser Machining of Siliceous Strand Profiles." Laser Technik Journal 11, no. 5 (2014): 42–45. http://dx.doi.org/10.1002/latj.201400051.

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8

Atishey, Mittal*, Kumar Atul, and Daniel Freedon. "OPTIMIZATION OF CUTTING PARAMETER FOR EFFICIENT ENERGY IN CNC MILLING MACHINE- A REVIEW." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 3 (2016): 384–89. https://doi.org/10.5281/zenodo.47506.

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Energy efficiency is one of the main drivers for achieving sustainable manufacturing. Advances in machine tool design have reduced the energy consumption of such equipment, but still machine tools remain one of the most energy demanding equipment in a workshop. This study presents a novel approach aimed to improve the energy efficiency of machine tools through the online optimization of cutting conditions. The study is based on an industrial CNC controller with smart algorithms optimizing the cutting parameters to reduce the overall machining time while at the same time minimizing the peak ene

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9

Cai, Wei, Li Li, Shun Jia, Conghu Liu, Jun Xie, and Luoke Hu. "Task-Oriented Energy Benchmark of Machining Systems for Energy-Efficient Production." International Journal of Precision Engineering and Manufacturing-Green Technology 7, no. 1 (2019): 205–18. http://dx.doi.org/10.1007/s40684-019-00137-x.

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10

Denkena, Berend, Patrick Helmecke, and Lars Hülsemeyer. "Energy Efficient Machining with Optimized Coolant Lubrication Flow Rates." Procedia CIRP 24 (2014): 25–31. http://dx.doi.org/10.1016/j.procir.2014.07.140.

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11

Uhlmann, Eckart, Sascha Reinkober, and Tobias Hollerbach. "Energy Efficient Usage of Industrial Robots for Machining Processes." Procedia CIRP 48 (2016): 206–11. http://dx.doi.org/10.1016/j.procir.2016.03.241.

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12

Deiab, Ibrahim. "On Energy Efficient and Sustainable Machining through Hybrid Processes." Materials and Manufacturing Processes 29, no. 11-12 (2014): 1338–45. http://dx.doi.org/10.1080/10426914.2014.921706.

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13

Oda, Yohei, Makoto Fujishima, and Yoshimi Takeuchi. "Energy-Saving Machining of Multi-Functional Machine Tools." International Journal of Automation Technology 9, no. 2 (2015): 135–42. http://dx.doi.org/10.20965/ijat.2015.p0135.

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The purpose of the study described in this paper was to develop an energy-saving strategy for machining of multi-functional machine tools by pairing various turning and milling processes with various cutting conditions. The amounts of electric energy consumed during turning, facing, end milling, and drilling were measured and analyzed. Based on the experimental results, the most efficient machining processes and methods for reducing electric energy were identified. It was found to be important to employ severe cutting conditions as much as possible and to reduce the electric energy associated

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14

Fujishima, Makoto, Masahiko Mori, and Yohei Oda. "Energy-efficient manufacturing on machine tools by machining process improvement." Production Engineering 8, no. 1-2 (2013): 217–24. http://dx.doi.org/10.1007/s11740-013-0492-0.

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15

Wang, Honghui, Ray Y. Zhong, Guijie Liu, WeiLei Mu, Xiaojie Tian, and Dingxin Leng. "An optimization model for energy-efficient machining for sustainable production." Journal of Cleaner Production 232 (September 2019): 1121–33. http://dx.doi.org/10.1016/j.jclepro.2019.05.271.

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16

Neugebauer, Reimund, Carsten Hochmuth, Gerhard Schmidt, and Martin Dix. "Energy Efficient Process Planning Based on Numerical Simulations." Advanced Materials Research 223 (April 2011): 212–21. http://dx.doi.org/10.4028/www.scientific.net/amr.223.212.

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The main goal of energy-efficient manufacturing is to generate products with maximum value-added at minimum energy consumption. To this end, in metal cutting processes, it is necessary to reduce the specific cutting energy while, at the same time, precision requirements have to be ensured. Precision is critical in metal cutting processes because they often constitute the final stages of metalworking chains. This paper presents a method for the planning of energy-efficient machining processes based on numerical simulations. It encompasses two levels of planning flexibility: process adjustment a

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17

Zhang, Ying, Shijin Zhang, Zhongwei Ren, Yuqiang Wu, and Fengyang Jiang. "Parallelized Collision Detection Algorithm for Non-contact Machining Simulation Based on Space Partitioning and Path Point Equalization." Journal of Physics: Conference Series 2988, no. 1 (2025): 012003. https://doi.org/10.1088/1742-6596/2988/1/012003.

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Abstract High-energy beam CNC machining, such as laser, water jet, and plasma machining, is widely applied in modern manufacturing due to its non-contact processing, precise energy control, and broad adaptability. However, potential collisions between tools and machine tools can cause serious accidents, making pre-processing simulation essential. As tasks become more complex, the increase in triangular facets of models and tool path points leads to a significant rise in computational overhead for CNC machining simulations. Although multi-core processors provide powerful computing capabilities,

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18

Zhang, Chaoyang, and Pingyu Jiang. "Sustainability Evaluation of Process Planning for Single CNC Machine Tool under the Consideration of Energy-Efficient Control Strategies Using Random Forests." Sustainability 11, no. 11 (2019): 3060. http://dx.doi.org/10.3390/su11113060.

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As an important part of industrialized society, manufacturing consumes a large amount of raw materials and energy, which motivates decision-makers to tackle this problem in different manners. Process planning is an important optimization method to realize the object, and energy consumption, carbon emission, or sustainability evaluation is the basis for the optimization stage. Although the evaluation research has drawn a great deal of attention, most of it neglects the influence of state control of machine tools on the energy consumption of machining processes. To address the above issue, a sus

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19

Xia, Tangbin, Xiangxin An, Huaqiang Yang, et al. "Efficient Energy Use in Manufacturing Systems—Modeling, Assessment, and Management Strategy." Energies 16, no. 3 (2023): 1095. http://dx.doi.org/10.3390/en16031095.

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Currently, studies on the energy efficiency of manufacturing systems usually lack synthetic and systematic techniques. In this paper, a holistic framework is demonstrated in order to achieve more sustainable manufacturing, which covers machine-level, system-level and life-cycle-level energy efficiency techniques. Based on these, the mechanism of how energy consumption is affected by machining processes and system operation is analyzed to achieve a comprehensive decision on energy efficiency optimization. Four main topics are included in this paper: (1) Hierarchical sustainability goals and met

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20

Çaşka, Serkan, and Mete Özbaltan. "Adaptation of Symbolic Discrete Control Synthesis for Energy-Efficient Multi-Pocket Milling." Processes 12, no. 3 (2024): 584. http://dx.doi.org/10.3390/pr12030584.

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In engineering, cost minimization, especially in Computer Numerical Control (CNC) machining like pocket milling, is crucial. Existing tool path definition software often lacks optimization, particularly at critical starting and ending points. This study optimizes CNC machine tool paths for energy-efficient multi-pocket milling, utilizing the Symbolic Discrete Control Synthesis (SDCS) method for formal correctness. In our work, the tool path generation is formulated as a traveling salesman problem. We introduce a modeling framework to adapt SDCS to multi-pocket-milling processes, aiming to enha

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21

Shastri, Renu Kiran, Chinmaya Prasad Mohanty, Umakant Mishra, Tapano Kumar Hotta, Viraj Vishwas Patil, and Konda Gokuldoss Prashanth. "Optimizing the Electrical Discharge Machining Process Parameters of the Nimonic C263 Superalloy: A Sustainable Approach." Journal of Manufacturing and Materials Processing 8, no. 3 (2024): 126. http://dx.doi.org/10.3390/jmmp8030126.

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Engineers continue to be concerned about electrical discharge-machined components’ high energy consumption, machining debris, and poor dimensional precision. The aim of this research is to propose a hybrid neuro-genetic approach to improve the machinability of the electrical discharge machining (EDM) of the Nimonic C263 superalloy. This approach focuses on reducing the energy consumption and negative environmental impacts. The material removal rate (MRR), electrode wear ratio (EWR), specific energy consumption (SEC), surface roughness (Ra), machining debris (db), and circularity (C) are examin

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22

Zhao, Guoyong, Yu Su, Guangming Zheng, Yugang Zhao, and Chunxiao Li. "Tool tip cutting specific energy prediction model and the influence of machining parameters and tool wear in milling." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 234, no. 10 (2020): 1346–54. http://dx.doi.org/10.1177/0954405420911298.

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Most of the existing energy-consumption models of machine tools are related to specific machine components and hence cannot be applied to other machine tools with different specifications. In order to help operators optimize machining parameters for improving energy efficiency, the tool tip cutting specific energy prediction model based on machining parameters and tool wear in milling is developed, which is independent of the standby power of machine tools and the spindle no-load power. Then, the prediction accuracy of the proposed model is verified with dry milling AISI 1045 steel experiments

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23

Seidel, B., C. Heinzel, D. Meyer, P. Geilert, and B. Karpuschewski. "Sustainable machining by energy- and resource-efficient application of metalworking fluids." Procedia Manufacturing 43 (2020): 151–58. http://dx.doi.org/10.1016/j.promfg.2020.02.129.

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24

Li, X. X., W. D. Li, and F. Z. He. "A multi-granularity NC program optimization approach for energy efficient machining." Advances in Engineering Software 115 (January 2018): 75–86. http://dx.doi.org/10.1016/j.advengsoft.2017.08.014.

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25

Serin, Gokberk, Murat Ozbayoglu, and Hakki Ozgur Unver. "Integrated energy-efficient machining of rotary impellers and multi-objective optimization." Materials and Manufacturing Processes 35, no. 4 (2019): 478–90. http://dx.doi.org/10.1080/10426914.2019.1605177.

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26

Liang, Y. C., X. Lu, W. D. Li, and S. Wang. "Cyber Physical System and Big Data enabled energy efficient machining optimisation." Journal of Cleaner Production 187 (June 2018): 46–62. http://dx.doi.org/10.1016/j.jclepro.2018.03.149.

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27

Wang, Lihui, Wei Wang, and Dawei Liu. "Dynamic feature based adaptive process planning for energy-efficient NC machining." CIRP Annals 66, no. 1 (2017): 441–44. http://dx.doi.org/10.1016/j.cirp.2017.04.015.

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28

Meng, Yue, Li Hui Wang, Xue Feng Wu, Xian Li Liu, and Guang Xu Ren. "A Study on Energy Consumption of a CNC Milling Machine Based on Cutting Force Model." Materials Science Forum 800-801 (July 2014): 782–87. http://dx.doi.org/10.4028/www.scientific.net/msf.800-801.782.

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Machining operations are performed by machine tools with a large amount of energy consumed for material removal. Understanding and characterizing the energy consumption is essential to explore the potential of energy-saving in energy-efficient machining. For this purpose, this paper proposes a method for modeling energy consumption of end milling operation which is based on cutting theory. The cutting power model is verified with experiments on a CNC milling machine. According to the calculated and experimental results, it is clear that the theoretical prediction can predict the mean cutting p

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29

Molnár, Viktor, and Gergely Szabo. "COMPARISON OF CUTTING TOOL GEOMETRIES BASED ON CUTTING FORCES AND ROUGHNESS OF HARD TURNED SURFACES." Cutting & Tools in Technological System, no. 100 (June 15, 2024): 77–86. http://dx.doi.org/10.20998/2078-7405.2024.100.06.

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Surface quality and energy consumption are two widely studied topics of hard machining. Due to the increasing need of companies for new, more efficient materials, tools and procedures, their manufacturers or suppliers have to deliver innovative solutions from time to time. In this study the latest development of a hard turning insert manufacturer is used in comprehensive machining experiments to show how the new tool (a wiper insert) behaves compared to its standard counterpart. Based on surface roughness and machining force measurement and analysis, this efficiency is proved by quantitative r

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30

Shrivastava, Pankaj Kumar, Shrihar Pandey, and Shivam Dangi. "Electrical arc machining: Process capabilities and current research trends." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 15 (2019): 5190–200. http://dx.doi.org/10.1177/0954406219846151.

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Electrical arc machining is the thermal energy-based unconventional machining process, which utilizes energy of arc to melt and vaporize workpiece material. Electrical arc machining has the capability to machine advanced materials such as metal matrix composites, superalloys, and conductive ceramics effectively. The process is considered to be efficient than most of the other unconventional machining processes in terms of the material removal rate. But it has got limitations because it results in a very poor surface finish. Tool wear rate, recast layer formation, surface and subsurface cracks,

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31

Karpov, A. V. "Towards Energy Intensity Reduction of Machining Fabrication Procedures." Applied Mechanics and Materials 756 (April 2015): 111–15. http://dx.doi.org/10.4028/www.scientific.net/amm.756.111.

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The article is devoted to the rational consumption of energy resources when processing of blanks of machine component parts with metal-cutting tools during machine-building production. The scientific and methodological approach to the establishment of energy-efficient processing conditions is proposed, the one is based on the optimization of fabrication procedures according to new energy efficiency criterion. It was given the study of advantages and disadvantages of known methods of fabrication procedures optimization according to the criterion of the lowest specific energy intensity. New inte

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32

Nugrahanto, Indrawan, Hariyanto Gunawan, and Hsing-Yu Chen. "Innovative Approaches to Sustainable Computer Numeric Control Machining: A Machine Learning Perspective on Energy Efficiency." Sustainability 16, no. 9 (2024): 3569. http://dx.doi.org/10.3390/su16093569.

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Computer Numeric Control (CNC) five-axis milling plays a significant role in the machining of precision molds and dies, aerospace parts, consumer electronics, etc. This research aims to explore the potential of the machine learning (ML) technique in improving energy efficiency during the CNC five-axis milling process for sustainable manufacturing. The experiments with various machining parameters, forms of toolpath planning, and dry cutting conditions were carried out, and the data regarding energy consumption were collected simultaneously. The relationship between machine parameters and energ

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33

Shin, S.-J. "A hybrid process planning for energy-efficient machining: Application of predictive analytics." IOP Conference Series: Materials Science and Engineering 635 (October 28, 2019): 012032. http://dx.doi.org/10.1088/1757-899x/635/1/012032.

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34

Wang, Zhigang, Shogo Nakashima, and Mark Larson. "Energy Efficient Machining of Titanium Alloys by Controlling Cutting Temperature and Vibration." Procedia CIRP 17 (2014): 523–28. http://dx.doi.org/10.1016/j.procir.2014.01.134.

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35

Samukawa, Tetsuo, and Haruhiko Suwa. "An Optimization of Energy-Efficiency in Machining Manufacturing Systems Based on a Framework of Multi-Mode RCPSP." International Journal of Automation Technology 10, no. 6 (2016): 985–92. http://dx.doi.org/10.20965/ijat.2016.p0985.

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It has become important to consider energy-efficient optimization not only in a process design but also in the operations of manufacturing systems to promote sustainable and green manufacturing. This paper extends authors’ previous work to a more practical situation to demonstrate the applicability of the proposed framework of energy-efficient manufacturing operations based on a resource-constrained project scheduling problem (RCPSP). Both have varying resource requirements and multi processing modes, which can produce a suitable energy-load profiles for complete manufacturing systems. This st

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36

Farooqi, Awais, and Nukman bin Yusoff. "Green Manufacturing - Textured Novel Cutting Tool for Sustainable Machining: A Review." Applied Mechanics and Materials 899 (June 2020): 135–43. http://dx.doi.org/10.4028/www.scientific.net/amm.899.135.

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Green manufacturing concept has become a cutting edge in the field of sustainable machining. The prime objective of the philosophy is to find a technique in machining or material removal processes that are environmentally friendly, with minimal wastage, energy efficient and optimal condition for the machining processes. This review paper discusses the significance of textured novel cutting tools, is one of the promising technologies and process. It discusses the Dry Machining process to capture green sustainable manufacturing practices. The study may answer of how it stands among other methods

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37

Maximov, Yury. "Theory and Practice of Technology for Machining Non-Rigid Smooth Shafts." Key Engineering Materials 496 (December 2011): 168–75. http://dx.doi.org/10.4028/www.scientific.net/kem.496.168.

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In modern machine-building the problem of creating highly-efficient technological mechanical machining processes, taking into account the energy and resources-saving and ecological requirements is one of the paramount importance. Throughout the whole period of machine-building technology development there were great difficulties owing to the problems of machining parts with low rigidity and high demands on quality. At creating the technological processes of similar parts’ machining, as at creating any technological process, it is necessary to provide realization of the principle of combining t

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38

Shumyacher, Vyacheslav M., Sergey A. Kryukov, and Natal'ya V. Baidakova. "Methodology for Evaluation of Treated Steels and Alloys in Abrasive Processing." Defect and Diffusion Forum 410 (August 17, 2021): 262–68. http://dx.doi.org/10.4028/www.scientific.net/ddf.410.262.

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One of the critical physical and mechanical properties of metals and alloys is the suitability for abrasive machining. Machining by abrasive tools is the final operation that sets the desired macro-geometry parameters of processed blanks and microgeometry parameters of processed surfaces such as roughness and length of a bearing surface. Abrasive machining determines the most important physical and mechanical parameters of a blank surface layer, i.e. stresses, phase composition, structure. Machinability by abrasive tools depends on the machining performance affected both by the blank material

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39

Ali Khan, Muhammad, Syed Husain Imran Jaffery, Mushtaq Khan, et al. "Statistical analysis of energy consumption, tool wear and surface roughness in machining of Titanium alloy (Ti-6Al-4V) under dry, wet and cryogenic conditions." Mechanical Sciences 10, no. 2 (2019): 561–73. http://dx.doi.org/10.5194/ms-10-561-2019.

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Abstract. Productivity and economy are key elements of any sustainable manufacturing system. While productivity is associated to quantity and quality, economy focuses on energy efficient processes achieving an overall high output to input ratio. Machining of hard-to-cut materials has always posed a challenge due to increased tool wear and energy loss. Cryogenics have emerged as an effective means to improve sustainability in the recent past. In the present research the use of cooling conditions has been investigated as an input variable to analyze its effect on tool wear, specific cutting ener

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40

Singh, Shweta, Satendra Singh, Rahul Pawar, and Kuldeep Singh Kulhar. "Artificial Intelligence Approaches for Predictive Power Consumption Modeling in Machining-Short Review." E3S Web of Conferences 540 (2024): 06015. http://dx.doi.org/10.1051/e3sconf/202454006015.

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This article focuses on the crucial role of predictive modeling, particularly powered by artificial intelligence (AI), in optimizing power consumption in machining, a vital facet of modern manufacturing. Highlighting the growing significance of power utilization in machining operations due to economic, environmental, and equipment-related implications, the article underscores the importance of this area. It proceeds to discuss the contributions of predictive modelling , elucidating its capacity to predict and manage variability, optimize tool selection and cutting parameters, reduce downtime,

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41

Wang, Honghui, Xun Xu, Chengrui Zhang, and Tianliang Hu. "A hybrid approach to energy-efficient machining for milled components via STEP-NC." International Journal of Computer Integrated Manufacturing 31, no. 4-5 (2017): 442–56. http://dx.doi.org/10.1080/0951192x.2017.1322220.

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42

Denkena, Berend, Benjamin Bergmann, and Björn-Holger Rahner. "Energy-efficient control of dust extraction for the machining of fibre-reinforced plastics." Procedia CIRP 78 (2018): 49–54. http://dx.doi.org/10.1016/j.procir.2018.08.178.

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43

Tadjikuziev, Rakhmatjan, Shokhrukh Rubidinov, and Saida Mamatqulova. "Advancements in energy-efficient welding production techniques: Innovative models and methods for combined workpiece fabrication." E3S Web of Conferences 583 (2024): 05005. http://dx.doi.org/10.1051/e3sconf/202458305005.

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This article highlights notable advances in energy-efficient welding manufacturing techniques, with particular emphasis on new models and methodologies for combined welding machines. High energy density welding processes such as laser beam and electron beam welding are being investigated for their potential to optimize energy use in various industrial applications. Furthermore, the examination extends to energy- efficient high-density welding procedures, notably encompassing electric arc, gas welding, and autogenous welding, while also taking into account factors tied to corrosion processing.

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44

Tebni, Wissem, M. Boujelbene, and E. Bayraktar. "Parametric Approach Model for Determining Electrical Discharge Machining (EDM) Conditions: Effect of Cutting Parameters on the Surface Integrity." Advanced Materials Research 83-86 (December 2009): 725–37. http://dx.doi.org/10.4028/www.scientific.net/amr.83-86.725.

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Electrical discharge machining (EDM) is one of the earliest non-traditional machining processes. EDM process is based on thermoelectric energy between the work piece and an electrode. There are various types of products which can be produced by using the EDM such as dies and moulds. Today many parts used in aerospace and automotive industry and also final processes of surgical components can be finished by EDM process. A simple and easily understandable model was proposed for predicting the relative importance of different factors (composition of the steels and Electro Discharge Machining proc

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45

Vuong, Ngoc-Dung, Renjun Li, Chee-Meng Chew, Amir Jafari, and Joseph Polden. "A novel variable stiffness mechanism with linear spring characteristic for machining operations." Robotica 35, no. 7 (2016): 1627–37. http://dx.doi.org/10.1017/s0263574716000357.

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SUMMARYVariable stiffness mechanisms are able to mechanically reconfigure themselves in order to adjust their system stiffness. It is generally accepted that only antagonistic designs, featuring quadratic springs, can produce linear spring-like behaviour (i.e., a linear relationship between the displacement and its resultant force). However, these antagonistic designs typically are not as energy efficient as series-based designs. In this work, we propose a novel variable stiffness mechanism that can achieve both linear-spring behaviour whilst maintaining an energy efficient characteristic. Thi

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46

Xiao, Yongmao, Jincheng Zhou, Ruping Wang, Xiaoyong Zhu, and Hao Zhang. "Energy-Saving and Efficient Equipment Selection for Machining Process Based on Business Compass Model." Processes 10, no. 9 (2022): 1846. http://dx.doi.org/10.3390/pr10091846.

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The optimal selection of machine equipment can reduce the energy consumption and processing time of the parts processing process in enterprises. The energy consumption and time of using different equipment to process the same product vary greatly. Traditional equipment selection is only through qualitative analysis comparing the process characteristics of using different equipment or optimizing parameters for a single piece of equipment. It does not take into account the dynamics of the production process and does not consider the impact of process factors on production decisions. To solve thi

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47

Singaravel, Balasubramaniyan, and Thangiah Selvaraj. "Experimental Investigation on Cutting Forces, Specific Cutting Pressure, Co-Efficient of Friction and Shear Energy in Turning of HSLA Steel." Management and Production Engineering Review 7, no. 1 (2016): 71–76. http://dx.doi.org/10.1515/mper-2016-0008.

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Abstract Machinability study of a material is used to find the ease and difficulty during machining operation. High Strength Low Alloy (HSLA) medium carbon steel (EN25 steel) is considered to possess better mechanical properties than carbon steel. In this work, an attempt is made to experimentally investigate and realize the machinability of EN25 steel during turning with coated carbide tools. The effects of machining parameters on cutting force components, Specific Cutting Pressure (SCP), co-efficient of friction and shear energy are analysed during the investigation. The results of the inves

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48

Hu, Chen, and Yongwei Zhu. "System Design and Mechanism Study of Ultrasonic-Assisted Electrochemical Grinding for Hard and Tough Materials." Processes 11, no. 6 (2023): 1743. http://dx.doi.org/10.3390/pr11061743.

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In this study, an ultrasonic-assisted electrochemical grinding (UAECG) system was designed to improve the low efficiency and tool wear in conventional grinding of hard and tough materials. In this system, multiple-field energy consisting of ultrasonic, electrochemical and mechanical grinding was used. The processing mechanism was investigated to determine the interaction mechanism between ultrasonic, grinding and electrochemical processing. The established theoretical model showed that the processing efficiency was affected by the ultrasonic amplitude, ultrasonic frequency, electrolyte conduct

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He, Shanshan, Daojiang Ou, Changya Yan, and Chen-Han Lee. "A chord error conforming tool path B-spline fitting method for NC machining based on energy minimization and LSPIA." Journal of Computational Design and Engineering 2, no. 4 (2015): 218–32. http://dx.doi.org/10.1016/j.jcde.2015.06.002.

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Abstract Piecewise linear (G01-based) tool paths generated by CAM systems lack G1 and G2 continuity. The discontinuity causes vibration and unnecessary hesitation during machining. To ensure efficient high-speed machining, a method to improve the continuity of the tool paths is required, such as B-spline fitting that approximates G01 paths with B-spline curves. Conventional B-spline fitting approaches cannot be directly used for tool path B-spline fitting, because they have shortages such as numerical instability, lack of chord error constraint, and lack of assurance of a usable result. Progre

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Zhou, Zongjie, Kai Liu, Jianping Zhou, Yan Xu, and Lizhong Wang. "A highly energy-efficient milling of Inconel 718 via modulated short electric arc machining." Journal of Manufacturing Processes 78 (June 2022): 46–58. http://dx.doi.org/10.1016/j.jmapro.2022.03.051.

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