Relevant bibliographies by topics / Energy-efficient machining

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Energy-efficient machining'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Energy-efficient machining"

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

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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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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 (January 2012): 127–36. http://dx.doi.org/10.1016/j.cirpj.2012.03.007.

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

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Kausar, Zareena, Muhammad Faizan Shah, Zeeshan Masood, Hafiz Zia Ur Rehman, Sardor Khaydarov, Muhammad Tallal Saeed, Omid Razmkhah, and Haseeb Yaqoob. "Energy Efficient Parallel Configuration Based Six Degree of Freedom Machining Bed." Energies 14, no. 9 (May 5, 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 (DOF) to the workpiece is proposed in this regard. However, the proposed six DOF machining bed should be energy efficient to avoid an increase in machining cost. The benefit of using the proposed configuration is a reduction in dimensional error and computational time which, as a result, reduces the energy utilization, vibrations, and machining time in practice. This paper presents kinematics, dynamics and energy efficiency models, and the development of the proposed configuration of the machining bed. The energy efficiency model is derived from the dynamics model. The models are verified in simulation and experimentally. To minimize error and computation time, a PID controller is also designed and tested in simulation as well as experimentally. The resulting energy efficiency is also analyzed. The results verify the efficacy of the proposed configuration of the machining bed, minimizing position error to 2% and reducing computation time by 27%, hence reducing the energy consumption and enhancing the energy efficiency by 60%.
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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 (July 19, 2019): 205–18. http://dx.doi.org/10.1007/s40684-019-00137-x.

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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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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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Deiab, Ibrahim. "On Energy Efficient and Sustainable Machining through Hybrid Processes." Materials and Manufacturing Processes 29, no. 11-12 (October 7, 2014): 1338–45. http://dx.doi.org/10.1080/10426914.2014.921706.

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Dissertations / Theses on the topic "Energy-efficient machining"

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Katchasuwanmanee, Kanet. "Investigation of the energy efficient sustainable manufacturing approach and its implementation perspectives." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/14348.

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In the last two decades, energy is becoming one of the main issues in the manufacturing industry as it contributes substantially to production cost, CO2 emissions, and other destructive environmental impact. Due to rising energy costs, environmental concerns and stringent regulations, manufacturing is increasingly driven towards sustainable manufacturing which needs to address the associated environmental, social and economic aspects simultaneously. One common approach is to achieve sustainability and to implement energy-resource efficient production management systems that enable optimisation of energy consumption and resource utilisation in the production system. However, by reducing energy consumption, the product quality and production cost may be compromised. To remain competitive in the dynamic environment, the energy-efficient management system should not only concern energy consumption but also maintain product quality and production efficiency. This thesis presents a development of the Energy-smart Production Management (e-ProMan) system which provides a systematic, virtual simulation that integrates manufacturing data relating to thermal effect and correlation analysis between energy flow, work flow and data flow for the heating, ventilation and air conditioning (HVAC) system and production process. First, the e-ProMan system comprises of the multidimensional analysis between energy flow, work flow and data flow. The results showed that the product quality is significantly affected by ambient temperature in CNC precision machining. Product quality appears to be improved at lower temperatures. This research highlights the significance of ambient temperature in sustainable precision machining. Second, the simulation experiment was modelled at the production process due to it being the main source of energy consumption in manufacturing. An up-hill workload scenario was found to be the most energy and cost-efficient production processes. In other words, energy consumption, CO2 emission and total manufacturing cost could be reduced when workload capacity and operating machine increase incrementally. Moreover, the e-ProMan system was modelled and simulated using the weather forecast and real-time ambient temperature to reduce energy consumption of the HVAC system. The e-ProMan system results in less energy consumption compared to the fuzzy control system. To conclude, the e-ProMan demonstrates energy efficiency at all relevant levels in the manufacturing: machine, process and plant. For the future research, the e-ProMan system needs to be applied and validated in actual manufacturing environments.
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Nafisi, Mariam. "Applying system dynamics modeling to a machining process : With regards to environmental friendliness and energy efficiency." Thesis, KTH, Industriell produktion, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-102555.

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Sustainability is one of the challenges in today’s world. With limited resources at hand and hazardous impact of manufacturing processes on the environment, there is an increasing need for sustainable manufacturing. Sustainability actually has a broad meaning and is an all-inclusive concept. In this thesis what we are more interested in and focus on, are energy consumption and environmental impacts. Using system dynamics modeling and simulation, we can more easily understand the behavior of processes. Our selected processes are turning, milling and drilling operations in crankshaft machining and using system dynamics concept we model these processes with regards to energy consumption and environmental concerns. The output of this thesis work can be eventually used as a decision support tool to decide how to make processes more sustainable.
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Unnikrishnan, Arun. "Modelling, process planning and optimization for energy-efficient machining." Thesis, 2018. http://eprint.iitd.ac.in:80//handle/2074/7932.

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Books on the topic "Energy-efficient machining"

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Madanchi, Nadine. Model Based Approach for Energy and Resource Efficient Machining Systems. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87540-4.

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Madanchi, Nadine. Model Based Approach for Energy and Resource Efficient Machining Systems. Springer International Publishing AG, 2021.

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Madanchi, Nadine. Model Based Approach for Energy and Resource Efficient Machining Systems. Springer International Publishing AG, 2023.

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Book chapters on the topic "Energy-efficient machining"

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Pagone, Emanuele, Konstantinos Salonitis, and Mark Jolly. "Energy-Efficient Casting Processes." In Materials Forming, Machining and Tribology, 77–98. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03276-0_4.

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Peng, Tao, Xun Xu, and Juhani Heilala. "Energy-Efficient Machining via Energy Data Integration." In IFIP Advances in Information and Communication Technology, 17–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40352-1_3.

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Haddadi, Farid. "Ultrasonic Spot Welding—Low Energy Manufacturing for Lightweight Fuel Efficient Transport Applications." In Materials Forming, Machining and Tribology, 185–209. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56099-1_8.

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Tapoglou, Nikolaos, Jörn Mehnen, and Jevgenijs Butans. "Energy Efficient Machining Through Evolutionary Real-Time Optimization of Cutting Conditions on CNC-Milling Controllers." In Materials Forming, Machining and Tribology, 1–18. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69472-2_1.

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Fujishima, Makoto, Masahiko Mori, and Yohei Oda. "Energy-Efficient Manufacturing on Machine Tools by Machining Process Improvement." In Enabling Manufacturing Competitiveness and Economic Sustainability, 461–66. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02054-9_78.

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Li, X. X., W. D. Li, and F. Z. He. "A Multi-granularity NC Program Optimization Approach for Energy Efficient Machining." In Sustainable Manufacturing and Remanufacturing Management, 191–212. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73488-0_8.

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Özdemir, E., L. Kiesewetter, K. Antorveza, T. Cheng, S. Leder, D. Wood, and A. Menges. "Towards Self-shaping Metamaterial Shells:." In Proceedings of the 2021 DigitalFUTURES, 275–85. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5983-6_26.

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AbstractDouble curvature enables elegant and material-efficient shell structures, but their construction typically relies on heavy machining, manual labor, and the additional use of material wasted as one-off formwork. Using a material’s intrinsic properties for self-shaping is an energy and resource-efficient solution to this problem. This research presents a fabrication approach for self-shaping double-curved shell structures combining the hygroscopic shape-changing and scalability of wood actuators with the tunability of 3D-printed metamaterial patterning. Using hybrid robotic fabrication, components are additively manufactured flat and self-shape to a pre-programmed configuration through drying. A computational design workflow including a lattice and shell-based finite element model was developed for the design of the metamaterial pattern, actuator layout, and shape prediction. The workflow was tested through physical prototypes at centimeter and meter scales. The results show an architectural scale proof of concept for self-shaping double-curved shell structures as a resource-efficient physical form generation method.
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Denkena, Berend, Benjamin Bergmann, Marcel Wichmann, Miriam Handrup, Daniel Katzsch, Philipp Pillkahn, Leon Reuter, Christopher Schmidt, and Frederik Stelljes. "Resource-Efficient Process Chains for the Production of High-Performance Powertrain Components in the Automotive Industry." In Lecture Notes in Mechanical Engineering, 410–18. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_46.

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AbstractThis paper focuses on process chains for power train components of passenger cars and heavy duty vehicles. In the project “Powertrain 2025” particular attention is being paid to increase the resource efficiency of the manufacturing process chains and reduce energy demand during service life. In detail cylinder liners are equipped with an adapted geometry and topography which reduces friction losses. Process chains for chassis components are investigated and optimized in order to increase the resource efficiency during manufacturing, service life and maintenance. In addition, process chains for the manufacturing of drive shafts are adjusted. By eliminating hard machining, energy is saved and friction losses are reduced by laser machining of microstructures. Furthermore, micro dimples are applied in vane pumps, which leads to a tribological improvement and thus enhances their friction behaviour. Moreover, a system architecture for process planning is developed and ecologically optimized process parameters are calculated. For a final consideration, a calculation software is developed which enables to calculate the main energy consumption of the manufacturing processes and the carbon footprint for the expected service life. A weight reduction of the powertrain components of 4.5 kg per vehicle and a potential annual energy saving of 13,073 MWh is obtained.
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Ben Slama, Hadhami, Raoudha Gaha, and Abdelmajid Ben Amara. "Multi-Objective Optimization of Cutting Parameters and Toolpaths in Pocket Milling Considering Energy Savings and Machining Costs." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220586.

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Productivity gains and minimum environmental impacts is the new challenge faced by enterprises, industries, and researchers. Mechanical machining is one of the widely used techniques in manufacturing. So, it’s important to accurately and effectively estimate and optimize the overall ecological and economic footprint. Since, cutting energy and machining cost is proportional to machining time, production-costs minimization could be achieved by embracing machining time reduction strategies. These may include the use of more efficient toolpath strategies that reduces machining time, therefore, ecological and economic costs. In the literature, many studies have focused on minimizing cost and environmental impact by examining the entire machining process, while the environmental/economic flow of toolpaths is relatively unexplored. The implementation and selection of a cutting path strategy with appropriate cutting parameters has a significant impact on machining costs. The purpose of this paper is to examine the impact of toolpath strategies in pocket machining. The cutting parameters considered are cutting speed, feed, depth of cut and feed. The aim will be addressed by means of using Taguchi parameter design. This could further raise the integrity of sustainable machining strategies in an earlier step of machining processes.
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Vikas, Supriyo Roy, and Kaushik Kumar. "Sustainable Operation Planning and Optimization in Manufacturing." In Handbook of Research on Managerial Strategies for Achieving Optimal Performance in Industrial Processes, 518–44. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0130-5.ch024.

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Demands on today's products have become very complex as buyers expect enhanced quality. Choosing a proper integrated manufacturing technology is the most difficult and time consuming act for enterprises. Again, Planning plays a crucial role in embedding sustainability into the day to day operations and businesses maintain a strong focus on factors that have a clear and direct effect on their economic performance like cost of materials, profit etc. Electro-Discharge Machining (EDM) is a thermoelectric energy based non-traditional machining processes with Material Removal Rate (MRR), Overcut and Surface Roughness as important outputs. People working on EDM have used a number of ways to optimize them. The objectives being more efficient material removal coupled with reduction in overcut and improved surface quality. In this study the same are individually and simultaneously optimized using Taguchi method on EN41 material and the best combination of the input parameters were identified. Results are validated to show its efficacy in using these in different manufacturing shop floors
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Conference papers on the topic "Energy-efficient machining"

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Moses, M., and D. Ashok. "Development of a new machining setup for energy efficient turning process." In 2013 International Conference on Energy Efficient Technologies for Sustainability (ICEETS). IEEE, 2013. http://dx.doi.org/10.1109/iceets.2013.6533501.

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Li, Lingling, Li Li, Congbo Li, and Ying Tang. "Energy Efficient Process Planning for Resource-Constrained Machining Systems." In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2018. http://dx.doi.org/10.1109/smc.2018.00243.

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Karanikolas, Nikitas, and Antonios Liaramantzas. "Affiance Computer Science and Machining Technology for cheap and efficient Solar Energy." In PCI 2017: 21st PAN-HELLENIC CONFERENCE ON INFORMATICS. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3139367.3139445.

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Li, Xiaoxia, Qinggang Wang, Jun Zhang, and Jianxiao Liu. "Tool path optimization for energy efficient machining using exhaustive and simulated annealing." In 2016 Sixth International Conference on Information Science and Technology (ICIST). IEEE, 2016. http://dx.doi.org/10.1109/icist.2016.7483439.

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Bharambe, Ganesh, Prakash Dabeer, Kumar Digambar Sapate, and Suresh M. Sawant. "Energy Savings for Sustainability of Machining Process." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-53295.

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Processing of metals in industries is lifeline of economy of country, which helps to shape the country. Energy saving in this process is attributed to both the parts ie process of machining and energy consumed in machine tools itself. The process of material removal had experienced lot of improvements in last few decades. This consists of developments in pre-machining processes, metal cutting methods and developments in cutting theories and cutting tools. Cutting fluid is one of challenging field to yield more favourable results. Manufacturing practices beyond its existing limits, process and machine automations, using the previous data for improving machinabilities, optimizing through relative benchmarks (a market driven schemes) shall lead the manufacturing speed to a new high. Adaptibility of manufacturing set up to absorb new requirement will also be a controlling factor for acceleration of manufacturing processes. This paper discusses the efforts to reduce the energy to produce a product. Various methods are discussed to minimize the energy consumed for driving the machine components such as spindle, feeding device, lubricating system, cutting fluid system, indexing and tooling management, speed and feed controlling devices etc. Different requirements such as friction energy in braking action, speed reducing or cushioning will also consume certain amount of energy during its operations. Therefore one has to understand the various types of energy flows and classification of energy forms used from place to place. Study of constructional features of machines brings a lot of opportunities for savings in energy. The concepts of material handling, fluid handling like hydraulic and pneumatic circuits, lubrication system, shall also provide the opportunities for savings in energy consumption. Energy used for working of accessories whether they are required at that particular moments needs to be considered from time to time. There are few more methods for locating the chances for arresting the energy wastages and reducing specific energy consumption referring a particular process or function. Previous data generated for similar functions can be referred for comparison and efforts can be added to reduce the requirement of energy. Efficient and effective utilization of equipment shall open a fresh path for finding the energy reductions. Sustainability of machining processes can be ensured for future using the lean energy utilizations for productions. Authors have explained the live cases to demonstrate reduction in energy consumption. Few potential guidelines are also narrated in this line. Further few cases are discussed from literature survey which support and will help to pursue the target.
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Bayesteh, Abdolreza, Farid Ahmad, and Martin B. G. Jun. "Computer-Aided Manufacturing (CAM) Software Development for Laser Machining." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65423.

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A novel computer-aided manufacturing (CAM) software system is proposed for laser ablation machining process. The algorithms and prototype software system is designed to offer efficient optimization of tool path for controlled delivery of laser energy into work-piece. The software simplifies part program creation and maintains constant velocity of the sample stage for each segment of a complex tool trajectory. These features enable efficient deposition of laser energy into the work piece and therefore, reduction in heat-affected zone is expected in laser ablation based micromachining. The reported software provides fast modification of tool path, automatic and efficient sequencing of path elements in a complicated tool trajectory, location of reference point and automatic fixing of geometrical errors in imported drawing exchange files (DXF) or DWG format files.
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Kou, Yang, Congbo Li, Li Li, Ying Tang, and Xiaoou Li. "Energy-efficient rescheduling for the flexible machining systems with random machine breakdown and urgent job arrival." In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2019. http://dx.doi.org/10.1109/smc.2019.8914436.

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Qian, Jingxing, Jing Tao, and Suiran Yu. "Simulation of the Cryogenic Machining for Improved Energy Efficiency and Surface Integrity." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34942.

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Idea of global sustainable development dictates greener machining processes. Cryogenic machining technologies enable cleaner, more energy efficient and less health hazardous process with possible lower production costs and higher productivity. In this paper, a 2D orthogonal cryogenic cutting process simulation model to predict the thermo-mechanical fields and the residual stress distribution remains in the machined surface of AZ31B magnesium alloy has been developed using ABAQUS FEM software. The proposed model can be applied to analyze influence of cutting condition parameters on the cutting forces and on the residual stress distribution in the machined surface and subsurface, which is a critical issue concerning energy efficiency and surface integrity of a cutting process.
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Westermann, Hans-Henrik, Andreas Kruse, Eva Eisinger, and Rolf Steinhilper. "Development of an Energy-Efficient Cutting Edge Geometry for Solid End Mills: A Design of Experiments-Based Approach." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46151.

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Milling operations are commonly characterized by high energy consumptions and should be in focus for optimizations aiming sustainable manufacturing processes. Research results show that within milling operations, especially in small and medium enterprises (SME), up to 80% of the applied milling cutters are solid end mills. The paper presents a design of experiments (DOE)-based optimization of the cutting edge geometry, to improve the energy efficiency and technical capability of solid end mills. Thereby the paper describes the fractional factorial design for the first-degree polynomial model as well as the subsequent set up of a central composite design (CCD) with its second-degree polynomial model for the optimization of relevant target parameter like cutting performance, tool wear and surface quality. Based on the results of more than one hundred machining tests this comprehensive approach shall contribute to the development of new cutting edge geometries of solid end mills and thereby lead to more energy-efficient machining operations in milling applications.
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Ameta, Gaurav, Mahesh Mani, and He Huang. "A Design Framework for Bi-Level Estimation of Machining Energy for Parts and Assemblies." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86805.

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This paper presents a framework and approach for the computation of machining energy for parts and assemblies, at two levels — early design stage and manufacturing stage. Energy estimation at an early design stage can be useful for redesign strategies and improving manufacturing efficiency. At the manufacturing stage, energy estimations allow for asset management based on energy efficient process planning and scheduling, thereby reducing the negative impacts of the product to the environment. To facilitate the computation of the machining energy, at an early design stage, we first automate the process of identifying the material removal volume for machining operations for a given part. We subsequently use the identified removal volume together with the material specific data to compute an energy range for manufacturing the part. For an assembly, the above computations for individual parts are aggregated to arrive at the final energy range. The proposed method allows the identification of energy intensive parts/features based on the percent contribution, thereby assisting re-design strategies. We additionally explore the application of statistical analysis and allocation principles to identify priority re-design parts. In this paper, we limit our product re-design discussions based on form (geometry and shape) and material. Future extensions will potentially also include manufacturing process optimization. Although the framework presented in this paper is currently applied only to milled parts and assemblies, it can also be extended to other machining methods.
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Reports on the topic "Energy-efficient machining"

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Curry, Bennett. Assisting the Tooling and Machining Industry to Become Energy Efficient. Office of Scientific and Technical Information (OSTI), December 2016. http://dx.doi.org/10.2172/1336187.

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