Multi-criteria Decision-making of Vibration-aided Machining for High Silicon-carbon Tool Steelwith Taguchi–topsis Approach

Huu, Phan Nguyen; Muthuramalingam, T.

doi:10.1007/s12633-020-00632-w

Cited by 22 publications

(7 citation statements)

References 29 publications

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“…As the aerospace, automobile manufacturing, and biomedical industries further enhance their demands for steel strength and quality, steel products must not only fulfill the new performance criteria but also adhere to regulations governing energy consumption limits for products. This underscores the pressing demand within downstream sectors for environmentally friendly, low-carbon iron and steel products, compelling the iron and steel industry to initiate a transition towards sustainability [2][3][4]. The production energy structure, changes in processes, raw material imports, and technological adjustments are some of the issues that must be addressed for the iron and steel industry of China to achieve low carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Prediction of Energy, Environmental and Economic Potentials in the Iron and Steel Industry of China

Gu,

Liu,

Wang

et al. 2023

Processes

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The green and low-carbon transformation of the iron and steel industry stands as a pivotal cornerstone in the development of China. It is an inevitable trajectory guiding the future of industry. This study examined the energy consumption and carbon emission trends in the iron and steel industry. Variations under different scenarios were analyzed while emphasizing production control, changes in production structure and energy efficiency improvement. The analysis integrated the extreme energy efficiency model. This study proposed methods to enhance energy efficiency in the iron and steel industry. The costs of energy efficiency improvement and production structure changes were assessed using marginal energy saving and abatement cost curves. The findings showed that the carbon emission reduction contribution of crude steel production decline is the highest, while energy efficiency improvement technology offers the smallest, whose contribution, however, is substantial and cannot be overlooked by 2030. Energy efficiency improvement in the Chinese iron and steel industry results in an average unit energy saving and abatement cost of 27.0 yuan. It results in a total abatement cost of 21.02 billion yuan and a potential abatement of 780 Mt. Considering abatement potential, altering production structure offers significantly higher cumulative abatement compared to energy efficiency improvement technology. This is because the per unit abatement cost of production structure change is 702.7 yuan. However, this high cost poses a challenge to widespread adoption. The integration of the iron and steel industry into the carbon trading system necessitates reinforcing market constraints and expediting process adjustments. These steps are crucial to achieving the green and low-carbon transformation of the industry.

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Section: Introductionmentioning

confidence: 99%

Analysis and Prediction of Energy, Environmental and Economic Potentials in the Iron and Steel Industry of China

Gu,

Liu,

Wang

et al. 2023

Processes

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“…Even though Taguchi-Data Envelopment Analysis-Based based Ranking(DEAR) is the simplest one, it cannot be applied to all lower-level performance measures [30]. The selection of weightage is a tedious one in the technique for order of preference by similarity to the ideal solution (TOPSIS)-assisted MCDM [31]. Even though a number of MCDM approaches are available to solve optimization problems, the Multi-Objective Optimization method based on Ratio Analysis (MOORA) is the most popular [32] due to its adaptability and prediction accuracy.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation and MOORA Based Optimization of Pulse Width Control on Leather Specimens in Diode Laser Beam Cutting Process

Khalaf,

Thangaraj,

Moiduddin

2023

Processes

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Due to the variety of benefits over traditional cutting techniques, the usage of laser cutting technology has risen substantially in recent years. The attributes of laser technology for leather cutting include adaptability, mass production, capability of cutting complicated patterns, ease of producing tailored components, and reduction in leather waste. In the present study, vegetable chrome-tanned buffalo leather specimens were cut using a 20 W laser diode with conventional and pulse width control in a photodiode-assisted laser cutting process. Emission rate, kerf width, carbonization, and material removal rate were considered as quality indicators. The higher power density associated with the pulse width approach reduces the interaction with the specimen, which results in a better emission rate and material removal rate, along with a lesser kerf width and carbonization. Using the MOORA approach, the optimal parameters of the present study were found to be a stand-off distance of 22 mm, a feed rate of 200 mm/min, a duty cycle of 75%, and a frequency of 20 kHz. The duty cycle can effectively control the pulse width at which the energy has been dissipated across the cutting zone.

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“…On the alternative hand, the Order Preference by Similarity to Ideal Solution (TOPSIS) technique is frequently used to solve multi-response optimization issues, such as determining the perfect combination of cutting parameters while machining diverse materials [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

RSM Modelling, and Multi-Object Optimization of Turning Parameters for Polyamide (PA66) Using PCA and PCA Coupled with TOPSIS

Boucherit

ZAIDI

Yallese

et al. 2022

mech

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In this study, turning operations on polyamide PA66 with cemented carbide insert, were organized according to the L27 Taguchi design whose objective is the analysis of the cutting parameters on the output parameters (Surface roughness and cutting force), as well as on the calculated parameter (material removal rate (Q)). The results revealed that surface roughness is highly impacted by the feed rate, which accounts for more than 68% of the variance, followed by the cutting speed and finally the depth of cut. With respect to cutting force, depth of cut and feed rate have emerged as the most important terms.A mathematical model is then created to predict the surface roughness and cutting force. Finally, the optimal cutting regime leading to good surface quality with less cutting force and maximum productivity was examinedusing two multi criteria optimization methods namely PCA and PCA coupled with TOPSIS. The total desirability function was used as a decision criterion for evaluating the two optimization methods. The results demonstrate the potential superiority of the PCA-TOPSIS method over the PCA method.

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Multi-criteria Decision-making of Vibration-aided Machining for High Silicon-carbon Tool Steelwith Taguchi–topsis Approach

Cited by 22 publications

References 29 publications

Analysis and Prediction of Energy, Environmental and Economic Potentials in the Iron and Steel Industry of China

Analysis and Prediction of Energy, Environmental and Economic Potentials in the Iron and Steel Industry of China

Performance Evaluation and MOORA Based Optimization of Pulse Width Control on Leather Specimens in Diode Laser Beam Cutting Process

RSM Modelling, and Multi-Object Optimization of Turning Parameters for Polyamide (PA66) Using PCA and PCA Coupled with TOPSIS

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