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Journal articles on the topic 'Machining, modelling, sustainable manufacturing'

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1

Khatai, Saswat, Ashok Kumar Sahoo, Ramanuj Kumar, and Amlana Panda. "A contemporary advancement of intelligent machining and sustainability aspects in hard machining area: A Critical Review." E3S Web of Conferences 430 (2023): 01296. http://dx.doi.org/10.1051/e3sconf/202343001296.

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The intelligent manufacturing devotes considerable effort to towards machining process. This phenomenon is engendered by the growing demand for advanced machining process for manufacturing of precise parts by adopting optimization techniques. This article illustrates the most significant developments in the sustainability aspects as well as optimization and modelling techniques adopted to solve the problems and complexity in hard machining process. Machining realisation necessitates recent and future breakthroughs in technological innovations for Industry 4.0. A significant amount of focus is
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Celent, Luka, Dražen Bajić, Sonja Jozić, and Marko Mladineo. "Hard Milling Process Based on Compressed Cold Air-Cooling Using Vortex Tube for Sustainable and Smart Manufacturing." Machines 11, no. 2 (2023): 264. http://dx.doi.org/10.3390/machines11020264.

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Improving machining performance and meeting the requirements of sustainable production at the same time represents a major challenge for the metalworking industry and scientific community. One approach to satisfying the above challenge is to apply different types of cutting fluids or to optimise their usage during the machining process. The fact that cutting fluids are well known as significant environmental pollutants in the metalworking industry has encouraged researchers to discover new environmentally friendly ways of cooling and lubricating in the machining process. Therefore, the main go
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Niamat, Misbah, Shoaib Sarfraz, Wasim Ahmad, Essam Shehab, and Konstantinos Salonitis. "Parametric Modelling and Multi-Objective Optimization of Electro Discharge Machining Process Parameters for Sustainable Production." Energies 13, no. 1 (2019): 38. http://dx.doi.org/10.3390/en13010038.

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Electro Discharge Machining (EDM) can be an element of a sustainable manufacturing system. In the present study, the sustainability implications of EDM of special-purpose steels are investigated. The machining quality (minimum surface roughness), productivity (material removal rate) improvement and cost (electrode wear rate) minimization are considered. The influence and correlation of the three most important machining parameters including pulse on time, current and pulse off time have been investigated on sustainable production. Empirical models have been established based on response surfac
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Mohd Zakaria, Muhammad Akmal, Raja Izamshah Raja Abdullah, Mohd Shahir Kasim, and Mohamad Halim Ibrahim. "Enhancing the Productivity of Wire Electrical Discharge Machining Toward Sustainable Production by using Artificial Neural Network Modelling." EMITTER International Journal of Engineering Technology 7, no. 1 (2019): 261–74. http://dx.doi.org/10.24003/emitter.v7i1.365.

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Sustainability plays an important role in manufacturing industries through economically-sound processes that able to minimize negative environmental impacts while having the social benefits. In this present study, the modeling of wire electrical discharge machining (WEDM) cutting process using an artificial neural network (ANN) for prediction has been carried out with a focus on sustainable production. The objective was to develop an ANN model for prediction of two sustainable measures which were material removal rate (as an economic aspect) and surface roughness (as a social aspect) of titani
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Ritu Gupta, Et al. "Integrating Machine Learning and Mathematical Programming for Optimisation of Electric Discharge of Machining Techniques." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 11s (2023): 683–90. http://dx.doi.org/10.17762/ijritcc.v11i11s.9659.

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This study explores the combination of machine guidance and several developing approaches to enhance both precision and effectiveness during Electricity-discharged Machining (EDM) business operations. The studies on quality control, energy efficiency, sustainable development, mathematical modelling within EDM optimization, and machine learning applications in EDM optimisation are all examined in this study. It highlights significant gaps in scientific knowledge, providing a pathway for the development of state-of-the-art EDM methods. The outcomes show that material decrease, energy efficiency,
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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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Singh, Karmjit, and Ibrahim Sultan. "A Computer-Aided Sustainable Modelling and Optimization Analysis of CNC Milling and Turning Processes." Journal of Manufacturing and Materials Processing 2, no. 4 (2018): 65. http://dx.doi.org/10.3390/jmmp2040065.

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The sustainability of a manufacturing process can be measured by three main factors which impact both ecological and financial constraints. These factors are the energy required to achieve a specific job, the material utilized for the job, and the time taken to complete that job. These factors have to be quantified and analysed so that a proper manufacturing system can be designed to optimize process sustainability. For this purpose, a computer package, which utilizes life cycle inventory models has been presented for CNC (Computer Numerical Control) milling and turning processes. Based on uti
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Del Sol, Irene, Álvaro Domínguez Calvo, David Piñero, Jorge Salguero, and Moises Batista. "Study of the FDM Parameters of the ABS Parts in the Surface Quality after Machining Operations." Key Engineering Materials 813 (July 2019): 203–8. http://dx.doi.org/10.4028/www.scientific.net/kem.813.203.

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Additive Manufacturing (AM) is one of the Key Enabling Technologies (KET’s) in Industry 4.0. One of the most worldwide used technologies is Fussed Deposition Modelling (FDM), a technology commonly used for domestic purposes. However, it could become a profitable option for industrial applications such as protections parts, flexible clamping systems or large volume parts. One of the issues that keeps this technology away from the mainstream industry is the lack of dimensional accuracy and the appearance of layer deposition defects that are produced as a consequence of the nature of the process.
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Rizzo, Antonella, Saurav Goel, Maria Luisa Grilli, et al. "The Critical Raw Materials in Cutting Tools for Machining Applications: A Review." Materials 13, no. 6 (2020): 1377. http://dx.doi.org/10.3390/ma13061377.

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A variety of cutting tool materials are used for the contact mode mechanical machining of components under extreme conditions of stress, temperature and/or corrosion, including operations such as drilling, milling turning and so on. These demanding conditions impose a seriously high strain rate (an order of magnitude higher than forming), and this limits the useful life of cutting tools, especially single-point cutting tools. Tungsten carbide is the most popularly used cutting tool material, and unfortunately its main ingredients of W and Co are at high risk in terms of material supply and are
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Liu, Guoliang, Tuğrul Özel, Jianming Li, Dexiang Wang, and Shufeng Sun. "Optimization and fabrication of curvilinear micro-grooved cutting tools for sustainable machining based on finite element modelling of the cutting process." International Journal of Advanced Manufacturing Technology 110, no. 5-6 (2020): 1327–38. http://dx.doi.org/10.1007/s00170-020-05906-6.

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Sana, Muhammad, Muhammad Asad, Muhammad Umar Farooq, Saqib Anwar, and Muhammad Talha. "Sustainable electric discharge machining using alumina-mixed deionized water as dielectric: Process modelling by artificial neural networks underpinning net-zero from industry." Journal of Cleaner Production 441 (February 2024): 140926. http://dx.doi.org/10.1016/j.jclepro.2024.140926.

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A. Ghani, Jaharah, Saima Yaaqob, Baizura Zubir, et al. "Elevating Sustainability: The Role of Machining in Modern Eco-Friendly Manufacturing Processes." Jurnal Kejuruteraan 36, no. 3 (2024): 991–96. http://dx.doi.org/10.17576/jkukm-2024-36(3)-13.

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Sustainable manufacturing has become a critical concern across various industries, including aerospace, automotive, and services. It involves the creation of manufactured products through economically sound processes that minimize negative environmental impacts while conserving energy and natural resources. Additionally, sustainable manufacturing aims to enhance employee, community, and product safety.This paper focuses on the machining process as a key component of sustainable manufacturing. Machining is widely used in manufacturing industries to fabricate components, but it also significantl
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SHARMA, RAJEEV, Binit Kumar Jha, and Vipin Pahuja. "ROLE OF SUSTAINABLE TECHNIQUES IN MANUFACTURING PROCESS: A REVIEW." International Journal of Engineering Technologies and Management Research 8, no. 2 (2021): 41–45. http://dx.doi.org/10.29121/ijetmr.v8.i2.2021.869.

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Customary mineral based liquids are as a rule broadly utilized in cooling and greases in machining activities. Nonetheless, these cutting liquids are the suitable wellspring of numerous natural and organic issues. To kill the evil impacts related with cutting liquids, it is important to move towards practical machining methods. Such sustainable machining techniques utilize minimize the amount of cutting liquid, fluid nitrogen, vegetable oil or packed air as a cooling-oil medium. The liquids utilized in economical machining strategies are viewed as absolutely biodegradable and Eco-friendly. Thi
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Liu, Pei Ling. "Towards Smart and Competitive Sustainable Machining." Key Engineering Materials 447-448 (September 2010): 301–5. http://dx.doi.org/10.4028/www.scientific.net/kem.447-448.301.

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Computer Numeric Control (CNC) revolutionized the machining technology and has been the cutting edge of digital manufacturing since 1950s. CNC machining model, simulation, verification, and optimization have been a vivid research topic of Smart Machining that automated the CNC programming (CAM) and cutting process, hence greatly increased machining productivity since 1990s. This paper traces back the history of CNC simulation, analysis the different CNC machining models, tested with application examples, and listed different CNC verification industry applications for the last 20 years. The new
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Filice, Luigino, Francesco Gagliardi, Fabrizio Quadrini, Erica Anna Squeo, and Vincenzo Tagliaferri. "Modelling manufacturing errors in machining of thermoplastics." International Journal of Computer Applications in Technology 33, no. 1 (2008): 72. http://dx.doi.org/10.1504/ijcat.2008.021887.

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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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Slama, Hadhami Ben, Raoudha Gaha, Mehdi Tlija, Sami Chatti, and Abdelmajid Benamara. "Proposal of a Combined AHP-PROMETHEE Decision Support Tool for Selecting Sustainable Machining Process Based on Toolpath Strategy and Manufacturing Parameters." Sustainability 15, no. 24 (2023): 16861. http://dx.doi.org/10.3390/su152416861.

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Sustainable manufacturing technologies are the new challenge faced by enterprises, industries, and researchers. The development of a sustainability-based assessment method considering the environmental and economic impacts is crucial to realize viable manufacturing. However, few studies have addressed environmental economics and social flows using a common perspective. Mechanical machining is one of the most-used manufacturing techniques. The overall ecological, economic, and social footprint requires accurate and effective estimation and optimization. Several studies have addressed this issue
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Le Van, Thao, Phuc Hoang Minh, Khoa Doan Tat, Anh Le Duc, Thuc Dang Van, and Si Mai Dinh. "Research on sustainable aspects in wire arc additive manufacturing of nickel-based alloy components." Transport and Communications Science Journal 76, no. 4 (2025): 474–88. https://doi.org/10.47869/tcsj.76.4.3.

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In recent decades, metal additive manufacturing (AM) has undergone remarkable advancements and become increasingly significant in manufacturing industries. Among metal AM technologies, wire arc additive manufacturing (WAAM) has great potential for producing medium to large-sized parts and becomes a good choice in the sustainable manufacturing context. This paper aims to analyze the sustainable aspects of WAAM and compare it with CNC machining via the production of an Inconel 625 alloy component. The evaluation is based on life cycle assessment (LCA) and life cycle cost analysis methods. The re
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Begović, Edin, Ibrahim Plančić, Sabahudin Ekinović, and Vedran Mizdrak. "ON ONE ASPECT OF SUSTAINABLE MANUFACTURING Power Consumption vs Productivity." Journal of Sustainable Technologies and Materials 2, no. 2 (2022): 1–8. http://dx.doi.org/10.57131/jstm.2022.2.1.

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The paper presents one aspect of the analysis of energy consumption and productivity of the manufacturing operation. As an example of the operation, the operation of turning with a single-blade tool was taken. Sustainable development in its general concept implies sustainable materials, sustainable design, and sustainable manufacturing. This paper presents an analysis of one important part of sustainable manufacturing, and that is energy saving. The experimental study was conducted as follows. In laboratory conditions, an experimental-mathematical regression model of the relationship between c
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Chirita, Bogdan, Catalin Tampu, Eugen Herghelegiu, and Cosmin Grigoras. "Modelling and optimization of magnesium alloy milling parameters." International Journal of Modern Manufacturing Technologies 13, no. 3 (2021): 29–36. http://dx.doi.org/10.54684/ijmmt.2021.13.3.29.

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In the pursuit to lighter, less consuming products, manufacturers, especially in aviation and automotive industries, are turning more and more to using lightweight alloys such as the ones based on magnesium. Higher requirements for increased productivity have led to concepts like high-speed machining (HSM), high feed machining (HFM) or high-efficiency machining. Tighter regulations concerning requiring for more environmentally friendly industrial processes led to limitations in the use of cooling liquids and a search for cooling methods with less impact (dry cutting, cryogenic cooling, near dr
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Fittamami, Bening Maulina, Eko Pujiyanto, and Yusuf Priyandari. "Multi-Objective Optimization of Machining Parameters for Multi-Pass CNC Turning to Minimize Carbon Emissions, Energy, Noise and Cost." Jurnal Teknik Industri 23, no. 1 (2021): 25–34. http://dx.doi.org/10.9744/jti.23.1.25-34.

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Global warming is a huge environmental issue today. This is due to the high level of world carbon emissions. The manufacturing process accounts for 30% of the world's carbon emissions production. Sustainable manufacturing is necessary to implement to reduce carbon emission levels caused by the manufacturing process. There are three aspects of sustainable manufacturing, namely environmental aspects, economic aspects, and social aspects. These three aspects can be implemented in the machining process by optimizing machining parameters in multi-pass CNC turning. This research aims to optimize CNC
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Okokpujie, Imhade P., Jude E. Sinebe, Lagouge K. Tartibu, Adeyinka O. M. Adeoye, Sylvia E. Kelechi, and Esther T. Akinlabi. "Ratio Study of High-Pressure Lubrication and Cutting Parameters Effects on Machining Operations and Its Effect Towards Sustainable Machining: A Review." Journal Européen des Systèmes Automatisés​ 55, no. 2 (2022): 197–205. http://dx.doi.org/10.18280/jesa.550206.

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Machining is the art of developing sustainable mechanical components by transforming solid raw materials into the finished product. Because for any Nation to achieve sustainable development, the Nation must have quality manufacturing industries. This paper summarizes existing articles on the effects of high-pressure lubrication conditions on chip formation and temperature distribution. Also, surface roughness, tool wear, and vibrations in machining operations when considering the current trend. Furthermore, the study of nano-lubricant and their application in reducing friction and temperature
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Dambhare, S. G., S. J. Deshmukh, and A. B. Borade. "Machining parameter optimization in turning process for sustainable manufacturing." International Journal of Industrial Engineering Computations 6, no. 3 (2015): 327–38. http://dx.doi.org/10.5267/j.ijiec.2015.3.002.

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Costa, Rúben D. F. S., Rita C. M. Sales-Contini, Francisco J. G. Silva, Naiara Sebbe, and Abílio M. P. Jesus. "A Critical Review on Fiber Metal Laminates (FML): From Manufacturing to Sustainable Processing." Metals 13, no. 4 (2023): 638. http://dx.doi.org/10.3390/met13040638.

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Composite materials such as Fiber Metal Laminates (FMLs) have attracted the interest of the aerospace and automotive industries due to their high strength to weight ratio, but to use them as structures it is necessary to master the manufacturing and wiring techniques of these materials. Therefore, this paper aims to address and summarize the drilling and milling processes in FMLs based on a literature review of papers published from 2000 to 2023. Parameters used in multi-material manufacturing and machining such as drilling and milling, tool geometry, tool coating, lubricants and coolants publ
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Gupta, Munish, Catalin Pruncu, Mozammel Mia, et al. "Machinability Investigations of Inconel-800 Super Alloy under Sustainable Cooling Conditions." Materials 11, no. 11 (2018): 2088. http://dx.doi.org/10.3390/ma11112088.

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With regard to the manufacturing of innovative hard-machining super alloys (i.e., Inconel-800), a potential alternative for improving the process is using a novel cutting fluid approach. Generally, the cutting fluids allow the maintenance of a better tool topography that can generate a superior surface quality of machined material. However, the chemical components of fluids involved in that process may produce harmful effects on human health and can trigger environmental concerns. By decreasing the cutting fluids amount while using sustainable methods (i.e., dry), Near Dry Machining (NDM) will
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Ogedengbe, Temitayo Samson. "Sustainable Machining Processes through Optimization of Process Parameters." International Journal of Engineering Materials and Manufacture 4, no. 1 (2019): 22–26. http://dx.doi.org/10.26776/ijemm.04.01.2019.03.

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Machining processes are a vital part of manufacturing activities in major industries that contributes to the growth of the economy. They mostly require high amount of electrical energy to power the various support modules installed on machine tools. Carrying out machining activities with a view to reducing energy consumption will therefore result in a lowered cost of production for manufactured products. Previous studies on some energy-saving methods adopted by researchers and the limitations faced in the reduction of energy consumption have been discussed. In this work, the effect of process
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Vichare, P., A. Nassehi, and S. Newman. "A unified manufacturing resource model for representation of computerized numerically controlled machine tools." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 223, no. 5 (2009): 463–83. http://dx.doi.org/10.1243/09544054jem1363.

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The capability of any manufacturing system primarily depends on its available machine tools. Thus machine tool representation is a vital part of modelling any manufacturing system. With the rapid advances in computerized numerically controlled (CNC) machines, machine tool representation has become a more challenging task than ever before. Today's CNC machine tools are more than just automated manufacturing machines, as they can be considered multi-purpose, multi-tasking, and hybrid machining centres. This paper presents a versatile methodology for representing such state-of-the-art CNC machini
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Gupta, Kapil, and Rudolph F. Laubscher. "Sustainable machining of titanium alloys: A critical review." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231, no. 14 (2016): 2543–60. http://dx.doi.org/10.1177/0954405416634278.

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The three main pillars of sustainability are the society, the environment, and the economy (people, planet, and profit). The key drivers that sustain these three pillars are energy and resource efficiency, a clean and ‘green’ environment that incorporates effective waste reduction and management, and finally cost-effective production. Sustainable manufacturing implies technologies and/or techniques that target these key drivers during product manufacture. Because of the effort and costs involved in the machining of titanium and its alloys, there is significant scope for improved sustainable ma
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Chainawakul, Adirake, Koji Teramoto, and Hiroki Matsumoto. "Statistical Modelling of Machining Error for Model-Based Elastomer End-Milling." International Journal of Automation Technology 15, no. 6 (2021): 852–59. http://dx.doi.org/10.20965/ijat.2021.p0852.

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Elastomer end-milling has attracted attention for use in the small-lot production of elastomeric fragments because the technique is an applicable method for a large variety of materials and does not require the preparation of expensive and time-consuming moulds. In order to effectively utilize elastomer end-milling, it is necessary to ensure the machining accuracy of elastomeric parts machined through this technique. However, the control method of machining error in the elastomer end-milling has not been presented since most machining services of the elastomeric part are based on enterprise-de
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Choi, B. K., C. S. Lee, J. S. Hwang, and C. S. Jun. "Compound surface modelling and machining." Computer-Aided Design 20, no. 3 (1988): 127–36. http://dx.doi.org/10.1016/0010-4485(88)90020-6.

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Zhang, Yanbin, Hao Nan Li, Changhe Li, et al. "Nano-enhanced biolubricant in sustainable manufacturing: From processability to mechanisms." Friction 10, no. 6 (2022): 803–41. http://dx.doi.org/10.1007/s40544-021-0536-y.

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AbstractTo eliminate the negative effect of traditional metal-working fluids and achieve sustainable manufacturing, the usage of nano-enhanced biolubricant (NEBL) is widely researched in minimum quantify lubrication (MQL) machining. It’s improved tool wear and surface integrity have been preliminarily verified by experimental studies. The previous review papers also concluded the major influencing factors of processability including nano-enhancer and lubricant types, NEBL concentration, micro droplet size, and so on. Nevertheless, the complex action of NEBL, from preparation, atomization, infi
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Lv, Lishu, Zhaohui Deng, Tao Liu, et al. "A Composite Evaluation Model of Sustainable Manufacturing in Machining Process for Typical Machine Tools." Processes 7, no. 2 (2019): 110. http://dx.doi.org/10.3390/pr7020110.

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Machine tool is the basic manufacturing equipment in today’s mechanical manufacturing industry. A considerable amount of energy and carbon emission are consumed in machining processes, the realization of sustainable manufacturing of machine tools have become an urgent problem to be solved in the field of industry and academia. Therefore, five types of machine tools were selected for the typical machining processes (turning, milling, planning, grinding and drilling). Then the model of the energy efficiency, carbon efficiency and green degree model were established in this paper which considers
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Gutema, Endalkachew Mosisa, and Hirpa G. Lemu. "Conventional Machining of Metal Matrix Composites towards Sustainable Manufacturing—Present Scenario and Future Prospects." Journal of Composites Science 8, no. 9 (2024): 356. http://dx.doi.org/10.3390/jcs8090356.

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Metal matrix composites (MMCs) epitomize a promising class of resources in modern manufacturing, offering an enhanced strength-to-weight ratio and high-temperature performance which make them ideal for applications demanding over conventional metals. However, their machining presents significant challenges due to their inherent material properties. The conventional machining methods including turning, milling, drilling, shaping, and the grinding of MMCs pose several challenges, facing limitations in terms of sustainability and efficiency. This paper explores the current perspective and prospec
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Das, Anshuman, Smita Padhan, Sudhansu Ranjan Das, Mohammad S. Alsoufi, Ahmed Mohamed Mahmoud Ibrahim, and Ammar Elsheikh. "Performance Assessment and Chip Morphology Evaluation of Austenitic Stainless Steel under Sustainable Machining Conditions." Metals 11, no. 12 (2021): 1931. http://dx.doi.org/10.3390/met11121931.

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Sustainable manufacturing has received great attention in the last few decades for obtaining high quality products with minimal costs and minimal negative impacts on environment. Sustainable machining is one of the main sustainable manufacturing branches, which is concerned with improving environmental conditions, reducing power consumption, and minimizing machining costs. In the current study, the performance of three sustainable machining techniques, namely dry, compressed air cooling, and minimum quantity lubrication, is compared with conventional flood machining during the turning of auste
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Garrido-Labrador, José Luis, Daniel Puente-Gabarri, José Miguel Ramírez-Sanz, David Ayala-Dulanto, and Jesus Maudes. "Using Ensembles for Accurate Modelling of Manufacturing Processes in an IoT Data-Acquisition Solution." Applied Sciences 10, no. 13 (2020): 4606. http://dx.doi.org/10.3390/app10134606.

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The development of complex real-time platforms for the Internet of Things (IoT) opens up a promising future for the diagnosis and the optimization of machining processes. Many issues have still to be solved before IoT platforms can be profitable for small workshops with very flexible workloads and workflows. The main obstacles refer to sensor implementation, IoT architecture, and data processing, and analysis. In this research, the use of different machine-learning techniques is proposed, for the extraction of different information from an IoT platform connected to a machining center, working
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Ishfaq, Kashif, Irfan Anjum, Catalin Iulian Pruncu, Muhammad Amjad, M. Saravana Kumar, and Muhammad Asad Maqsood. "Progressing towards Sustainable Machining of Steels: A Detailed Review." Materials 14, no. 18 (2021): 5162. http://dx.doi.org/10.3390/ma14185162.

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Machining operations are very common for the production of auto parts, i.e., connecting rods, crankshafts, etc. In machining, the use of cutting oil is very necessary, but it leads to higher machining costs and environmental problems. About 17% of the cost of any product is associated with cutting fluid, and about 80% of skin diseases are due to mist and fumes generated by cutting oils. Environmental legislation and operators’ safety demand the minimal use of cutting fluid and proper disposal of used cutting oil. The disposal cost is huge, about two times higher than the machining cost. To imp
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Musalekar, Dineshkumar, and Justyna Patalas-Maliszewska. "Modelling smart machining process towards intelligent manufacturing - a case study." IFAC-PapersOnLine 58, no. 19 (2024): 784–88. http://dx.doi.org/10.1016/j.ifacol.2024.09.204.

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Mehrvar, Ali, Ali Basti, and Ali Jamali. "Inverse modelling of electrochemical machining process using a novel combination of soft computing methods." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 17 (2020): 3436–46. http://dx.doi.org/10.1177/0954406220916495.

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Selection of optimal and suitable process parameters is a crucial issue in manufacturing processes especially in electrochemical machining (ECM). Since the utmost target is to find suitable machining parameters for gaining desired machining performances, a new hybrid approach has been applied for inverse modelling of ECM process. Four machining inputs, i.e. voltage, tool feed rate, electrolyte flowrate and concentration; and two machining responses, i.e. surface roughness (Ra) and material removal rate (MRR) are presented as input variables and responses, respectively. In the proposed approach
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Liu, X., and K. Cheng. "Modelling the machining dynamics of peripheral milling." International Journal of Machine Tools and Manufacture 45, no. 11 (2005): 1301–20. http://dx.doi.org/10.1016/j.ijmachtools.2005.01.019.

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Ding, Lian, Xiao Li Qiu, Glen Mullineux, and Jason Matthews. "The Development of the Sustainable Manufacturing Processes." Advanced Materials Research 118-120 (June 2010): 767–74. http://dx.doi.org/10.4028/www.scientific.net/amr.118-120.767.

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Sustainable manufacturing will be the dominate factor in the design of the future factory. Any manufacturing operation within these factories will affect the environment, be it through the waste it creates, the resources it uses, or the energy it consumes. All can be significant, but not all have been properly examined or documented. This paper presents an initial investigation into these issues related to subtractive machining and evaluates research finding against the waste hierarchy. The paper concludes by discussing the findings and presents some requirements and suggestions for the factor
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Wang, Xiao Jun, Wen Hui Yue, and Zi Qiang Han. "Study on High Speed Cutting Technology for Green Manufacturing." Advanced Materials Research 305 (July 2011): 25–30. http://dx.doi.org/10.4028/www.scientific.net/amr.305.25.

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As a sustainable model of modern manufacturing industry, green manufacturing is one of the essential solutions of the manufacturing environment pollution problems. Green cutting technology is the base and key of green manufacturing and will be the inevitable trend of cutting technology. High speed machining technology is a kind of the advanced manufacturing technologies which have superiorities as low cost, high efficiency, good processing quality and are suitable for machining thin walled workpieces and difficult-to-cut materials, and the relative problem has attracted scholars' attention fro
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Chate, Ganesh R., Manjunath Patel G.C., Harsha H.M., et al. "Sustainable machining: Modelling and optimization using Taguchi, MOORA and DEAR methods." Materials Today: Proceedings 46 (2021): 8941–47. http://dx.doi.org/10.1016/j.matpr.2021.05.365.

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Sun, Haiming, Conghu Liu, Jianqing Chen, Mengdi Gao, and Xuehong Shen. "A Novel Method of Sustainability Evaluation in Machining Processes." Processes 7, no. 5 (2019): 275. http://dx.doi.org/10.3390/pr7050275.

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In order to quantitatively evaluate and improve the sustainability of machining systems, this paper presents an emergy (the amount of energy consumed in direct and indirect transformations to make a product or service) based sustainability evaluation and improvement method for machining systems, contributing to the improvement of energy efficiency, resource efficiency and environmental performance, and realizing the sustainability development. First, the driver and challenge are studied, and the scope and hypothesis of the sustainable machining system are illustrated. Then, the emergy-based co
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Loginov, N., O. Khudyakova, and E. Orlova. "Modeling of Tribological Characteristics of Specimens with Wear-Resistant Coating Using Dummy Variables." Materials Science Forum 945 (February 2019): 919–25. http://dx.doi.org/10.4028/www.scientific.net/msf.945.919.

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In the process of machining, one of the main factors affecting machining tool wear is friction. A decrease in the coefficient of friction between the machining tool and a machined part is a key challenge for researchers. One of the methods to decrease the coefficient of friction and, consequently, to improve the endurance of the tool is the application of wear-resistant coatings. In the current study, modelling of triboprocesses using dummy variables is proposed. Since a peculiarity of modelling of manufacturing processes is a presence of a large number of quality parameters, the influence of
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Shaikh, Vasim A., and Nourredine Boubekri. "Using Vegetable-Oil-Based Sustainable Metal Working Fluids to Promote Green Manufacturing." International Journal of Manufacturing, Materials, and Mechanical Engineering 10, no. 1 (2020): 1–19. http://dx.doi.org/10.4018/ijmmme.2020010101.

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The ever-increasing awareness of the environmental and health hazards of petroleum and mineral-oil-based metalworking fluids (MWFs) is forcing the scientist and tribologists to develop alternative MWFs. Mineral and petroleum-oil based MWFs are also considered non-biodegradable which hinders their successful implementation in metal machining which requires regular disposal of used cutting fluids. On the other hand, vegetable-oil based MWFs are considered as sustainable green metalworking fluids/lubricants which are biodegradable and have superior cooling and lubricating properties. A review is
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Varghese, Vinay, M. R. Ramesh, and D. Chakradhar. "Experimental investigation and optimization of machining parameters for sustainable machining." Materials and Manufacturing Processes 33, no. 16 (2018): 1782–92. http://dx.doi.org/10.1080/10426914.2018.1476760.

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Ghandehariun, Amirmohammad, Yousef Nazzal, and Hossam Kishawy. "Sustainable manufacturing and its application in machining processes: a review." International Journal of Global Warming 9, no. 2 (2016): 198. http://dx.doi.org/10.1504/ijgw.2016.074955.

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Núñez López, Pedro Jose, Eustaquio García Plaza, Angel Ramon Martín, and A. Egido. "An Integrated Methodology for the Teaching of Computer Aided Tools for Automated Machining." Materials Science Forum 692 (July 2011): 8–15. http://dx.doi.org/10.4028/www.scientific.net/msf.692.8.

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To date a wide variety of computer aided tools are available for computer numerical controlled (CNC) automated machine-tools. Solid modelling software and 3D computer-aided design (CAD) are know firmly established in the early design stage whereas computer aided machining (CAM) and computer numerical control (CNC) simulator software is employed during the manufacturing stage. Training in the use of these systems is often undertaken in separate technical disciplines and training courses (e.g., graphic representation, mechanical design, computer numerical control programming, computer-aided mach
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Danish, Mohd, Saeed Rubaiee, and Hassan Ijaz. "Predictive Modelling and Multi-Objective Optimization of Surface Integrity Parameters in Sustainable Machining Processes of Magnesium Alloy." Materials 14, no. 13 (2021): 3547. http://dx.doi.org/10.3390/ma14133547.

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Magnesium alloys are widely used in numerous engineering applications owing to their superior structural characteristics. However, the machining of magnesium alloy is challenging because of its poor machinability characteristics. Therefore, this paper investigates the machining of magnesium alloys under different sustainable cooling conditions. The machining was performed by varying cutting velocity, feed rate, and depth of cut under dry and cryogenic cooling conditions. The primary focus of the paper is to develop a predictive model for surface roughness under different machining environments
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Fan, Hao, Hang Li, Dong Hong Si, Yu Jun Xue, Guo Feng Wang, and Ji Shun Li. "Synthesis Error Analysis of NC Manufacturing and Error Prediction Modelling Based on BP Neural Network Technology." Advanced Materials Research 314-316 (August 2011): 1254–57. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.1254.

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The method was proposed by use of the finite element analysis software ABAQUS and the BP neural network technology to build a synthesis error prediction model of a machining-center. Firstly the finite element model of a vertical machining center CINCINNATI ARROW750 was created by use of ABAQUS ,and the cutting force induced error was analyzed which resulted from the deformation of the machining-center’s components that was caused by the cutting force ;Secondly the geometric error of the machining-center was measured by use of the laser interometer,and the sample of synthesis error was obtained
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