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首页> 外文期刊>International Journal of Sustainable Manufacturing >Minimising carbon emissions and machining costs with improved human health in sustainable machining of austenitic stainless steel through multi-objective optimisation
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Minimising carbon emissions and machining costs with improved human health in sustainable machining of austenitic stainless steel through multi-objective optimisation

机译：通过多目标优化，通过改善奥氏体不锈钢可持续加工的人类健康，最大限度地减少碳排放和加工成本

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摘要

Environmental and societal concerns have fuelled an ever growing need for more sustainable products and machining processes. Much research has been focused on this issue in aviation, automotive, and medical industries where austenitic stainless steels have been often used. During machining of these materials, high cutting forces and carbon emissions make the machining process significantly more challenging. Therefore, in this study sustainable orthogonal turning experiments were conducted using dry cutting, MQL, and cryogenic cooling at different cutting speeds and undeformed chip thicknesses. Experimental cutting forces were measured and used to analytically determine the carbon (CO_2) emissions. In order to determine the optimal machining parameters for minimising the CO_2 emissions and the overall economic cost with improved human health conditions, a multi-objective optimisation problem was established. The optimal machining parameters were determined to be a cutting speed of 100 m/min and undeformed chip thickness of 0.12 mm, while using cryogenic cooling.
机译：环境和社会担忧促进了对更可持续的产品和加工过程的不断增长的需求。在经常使用奥斯汀不锈钢的航空，汽车和医疗产业中，已经专注于此问题。在加工这些材料期间，高切割力和碳排放使加工过程变得更具挑战性。因此，在该研究中，使用干切削，MQL和低温冷却，在不同的切割速度和未变形的芯片厚度下进行可持续的正交转向实验。测量实验切削力并用于分析碳（CO_2）排放。为了确定最大限度地减少CO_2排放的最佳加工参数和随着人力健康状况改善的整体经济成本，建立了多目标优化问题。最佳加工参数被确定为100米/分钟的切削速度，并且未变形的芯片厚度为0.12mm，同时使用低温冷却。

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