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Journal ArticleDOI

Modelling of direct energy requirements in mechanical machining processes

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TLDR
A mathematical model for electrical energy use in machining was developed addressing the limitations of existing models and validated on a milling tool path as discussed by the authors, which provides valuable information on the impact of machine modules, spindles, auxiliary units and motion states on the electrical energy demand budget for a machine tool resource.
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This article is published in Journal of Cleaner Production.The article was published on 2013-02-01. It has received 276 citations till now. The article focuses on the topics: Machine tool & Machining.

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Energy consumption model and energy efficiency of machine tools: a comprehensive literature review

TL;DR: In this article, a comprehensive literature review is needed because some related concepts are not clear and the precision of models still need to be promoted in this field, and conclusions are drawn for the future study in two major points: 1) the accuracy of current energy consumption models could be improved through introducing the correlation analysis of machine tools, parts, tools and processing condition.
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A Comparison of Energy Consumption in Bulk Forming, Subtractive, and Additive Processes: Review and Case Study

TL;DR: In this paper, the authors reviewed conventional and state-of-the-art manufacturing technologies to provide insight into energy consumption at the processing level, and found that additive processes are significantly more energy-consuming than conventional bulk-forming, subtractive, and additive manufacturing processes.
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Optimization of cutting parameters for minimizing energy consumption in turning of AISI 6061 T6 using Taguchi methodology and ANOVA

TL;DR: In this article, an experimental study to optimize cutting parameters during turning of AISI 6061 T6 under roughing conditions in order to get the minimum energy consumption was presented, where an orthogonal array, signal to noise (S/N) ratio and analysis of variance (ANOVA) were employed to analyze the effects and contributions of depth of cut, feed rate and cutting speed on the response variable.
Journal ArticleDOI

Sustainability of additive manufacturing: An overview on its energy demand and environmental impact

TL;DR: In this article, the authors provide an overview of the sustainability of additive manufacturing (SAM), with a focus on energy and environmental impacts, and discuss the opportunities to reduce energy and material consumption through design, material preparation, manufacturing, usage, and end-of-life treatment.
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Optimization of process parameters using a Response Surface Method for minimizing power consumption in the milling of carbon steel

TL;DR: In this paper, the authors focus on the efficiency of machining centres and provide an experimental approach to evaluate and optimize the process parameters in order to minimize the power consumption in a milling process performed on a modern CNC machine.
References
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Proceedings ArticleDOI

An Environmental Analysis of Machining

TL;DR: In this paper, a system-level environmental analysis of machining is presented, which considers not only the environmental impact of the material removal process itself, but also the impact of associated processes such as material preparation and cutting fluid preparation.
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A study on energy efficiency improvement for machine tools

TL;DR: In this article, a new acceleration control method is developed to reduce energy consumption by synchronizing spindle acceleration with feed system, which applies for either regular drilling, face/end milling or deep hole machining.
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Automated energy monitoring of machine tools

TL;DR: In this article, event stream processing techniques are applied to automate the monitoring and analysis of energy consumption in manufacturing systems and methods to reduce usage based on the specific patterns discerned are discussed.
Journal ArticleDOI

Sustainable machining: selection of optimum turning conditions based on minimum energy considerations

TL;DR: In this article, the authors developed a new model and methodology for optimising the energy footprint for a machined product, where the total energy of machining a component by the turning process was modelled and optimised to derive an economic tool-life that satisfies the minimum energy footprint requirement.
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