A state-of-the-art review on sustainability evaluation of machining processes involving the effects of advanced cooling technologies

Jamil, Muhammad; He, Ning; Wei, Zhao; Mushtaq, Ray Tahir; Khan, Aqib Mashood; Hegab, Hussien; Gupta, Munish Kumar; Khanna, Navneet

doi:10.1007/s00170-024-13303-6

Cited by 2 publications

(1 citation statement)

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“…However, other sources of energy consumption, such as axillary equipment consumption and waste generated during production, must be accounted for in the estimation of consumed energy [224]. In addition, it is important to consider various qualitative factors, such as the operator's health, the shop floor environment, air quality, and the environmental impact of coolant/lubricant to achieve sustainable production [225]. It has been demonstrated that around 66% of the total consumed energy is used for the actual cutting process, indicating the importance of optimizing the cutting processes in terms of energy consumption [226].…”

Section: Process Sustainabilitymentioning

confidence: 99%

Cyber–Physical Systems for High-Performance Machining of Difficult to Cut Materials in I5.0 Era—A Review

Gohari,

Hassan,

Shi

et al. 2024

Sensors

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The fifth Industrial revolution (I5.0) prioritizes resilience and sustainability, integrating cognitive cyber-physical systems and advanced technologies to enhance machining processes. Numerous research studies have been conducted to optimize machining operations by identifying and reducing sources of uncertainty and estimating the optimal cutting parameters. Virtual modeling and Tool Condition Monitoring (TCM) methodologies have been developed to assess the cutting states during machining processes. With a precise estimation of cutting states, the safety margin necessary to deal with uncertainties can be reduced, resulting in improved process productivity. This paper reviews the recent advances in high-performance machining systems, with a focus on cyber-physical models developed for the cutting operation of difficult-to-cut materials using cemented carbide tools. An overview of the literature and background on the advances in offline and online process optimization approaches are presented. Process optimization objectives such as tool life utilization, dynamic stability, enhanced productivity, improved machined part quality, reduced energy consumption, and carbon emissions are independently investigated for these offline and online optimization methods. Addressing the critical objectives and constraints prevalent in industrial applications, this paper explores the challenges and opportunities inherent to developing a robust cyber–physical optimization system.

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Section: Process Sustainabilitymentioning

confidence: 99%