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  • https://doi.org/10.18260/1-2--47816Copy DOI Icon

Operation Conditions Empirical Optimization for Sustainability Manufacturing

  • Aug 4, 2024
  • Hayder Zghair +2 more
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Abstract

Considerable percentage of greenhouse gas emissions comes from industry, and needs to be managed to avoid climate crisis around the world.Manufacturing as a key sector has a share to contribute in solving climate change problems.These challenges redefine the skillset of 21 st century workforce and it is increasing demand on the education to integrate sustainability principles into engineering and technology programs in a response to environmental challenges and future jobs skillset.This research emphasizes the central role of engineers in shaping the future of industries, highlighting the need to integrate sustainability into education, particularly in manufacturing engineering and technology.It advocates for mentoring independent studies as another approach beside developed curriculum with sustainability to foster a culture of sustainability excellence in manufacturing engineering and technology, supporting the development of sustainability education in both teaching and research.From sustainability principles integration, and environmentally friendly designs to optimizing production processes to leveraging Industry 4.0 technologies, this array is seen as key to reshaping the future of manufacturing.The approach of this work focuses on an independent research-based study to experimentally test the impact of main operational conditions on Carbon Dioxide (CO 2 ) production to optimize turning manufacturing processes.Three critical factors-rotational speed, feed rate, and lubrication-are examined for their influence on CO 2 .The work used a lathe machine and a set of three sensors strategically placed around the machine along with tools and workpiece samples.Full factorial design of experimentation is used to test and analyze the relationships among factors and the response function of CO 2 production.The technical results reveal significant main effects for the factors as follows: lubrication, rotational speed, and feed rate, along with interaction effects.Lowering rotational speed and high feed rate decrease CO 2 production supporting the hypothesis.Surprisingly, within-oil lubrication decreases CO 2 production, not as expected.Interaction effects emphasize the additive and subtractive influences of the factors on CO 2 production.While the full factorial design of experimentation applied allows for comprehensive factor effects analysis, it acknowledges limitations in the specific selected levels for machine rotational speed and tool feed rate.The research provides valuable insights into the impact of various operational conditions on CO 2 production in material removal manufacturing processes.Main and interaction effects contribute to the knowledge in sustainability manufacturing.Results of undergraduate independent research as another education approach showed how it valuable is to get students to explore the impact of re-adjusting engineering situations to solve problem and improvement objectives along with challenges and how experimental results are facts to change theoretical perspectives and assumptions.These findings contribute to advancing knowledge of sustainability manufacturing in student independent research, supporting the current groundwork for further exploration of optimal education approaches for effective teaching and mentoring strategies for sustainable manufacturing engineering and technology learning.The students' thoughts and learning developments about the topic were stunning, from learning the fundamentals and exploring the real-world constraints to practically challenging the theoretical aspects.This work shares an engineering student's impression of practicing sustainability in a research work project.

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