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    Correction to: Parametric optimization and process capability analysis for machining of nickel-based superalloy
    (Springer London Ltd, 2023) Gupta, Munish Kumar; Mia, Mozammel; Pruncu, Catalin I.; Kaplonek, Wojciech; Nadolny, Krzysztof; Patra, Karali; Mikolajczyk, Tadeusz
    [No abstract available]
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    Effectiveness improvement in manufacturing industry; trilogy study and open innovation dynamics
    (Multidisciplinary Digital Publishing Institute (MDPI), 2021) Tayal, Ashwani; Kalsi, Nirmal Singh; Gupta, Munish Kumar; Pimenov, Danil Yurievich; Sarikaya, Murat; Pruncu, Catalin I.
    The purpose of this investigation is to compute overall equipment effectiveness (OEE) in the small-scale industry. The novel approach is introduced to detect bottlenecks by which OEE can be improved. This study attempts to help small-medium enterprises in analyzing performance in a better way. The automotive industry was chosen for conducting the research. The present study is comprised of three phases. In the first phase, OEE was computed and compared with world-class manufacturing. The second phase included three-level of Pareto analysis followed by making fishbone diagram to mitigate the losses. The third phase conducted improved OEE in the industry. There are seven major losses present in the industry that adversely affect the effectiveness of machine in any industry. This approach can reduce these losses and improve the quality, asset utilization (AU), OEE, total effective equipment performance (TEEP) and productivity of the machine. The study exposes that Pareto analysis uncovers all the losses and works on the principle of 80/20 rule. The major losses were thoroughly explored with the help of the fishbone diagram and solutions were implemented at the shop floor. As a result, availability, performance, quality, OEE, AU, and TEPP show improvements by 4.6%, 8.06%, 6.66%, 16.23%, 4.16%, and 14.58%, respectively. The approach offers a good opportunity for both researchers and small-medium enterprises around the world to analyze the indicators of production losses, performance, and productivity in the manufacturing industry. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
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    Öğe
    Parametric optimization and process capability analysis for machining of nickel-based superalloy
    (Springer London Ltd, 2019) Gupta, Munish Kumar; Mia, Mozammel; Pruncu, Catalin I.; Kaplonek, Wojciech; Nadolny, Krzysztof; Patra, Karali; Mikolajczyk, Tadeusz
    The manufacturing of parts from nickel-based superalloy, such as Inconel-800 alloy, represents a challenging task for industrial sites. Their performances can be enhanced by using a smart cutting fluid approach considered a sustainable alternative. Further, to innovate the cooling strategy, the researchers proposed an improved strategy based on the minimum quantity lubrication (MQL). It has an advantage over flood cooling because it allows better control of its parameters (i.e., compressed air, cutting fluid). In this study, the machinability of superalloy Inconel-800 has been investigated by performing different turning tests under MQL conditions, where no previous data are available. To reduce the numerous numbers of tests, a target objective was applied. This was used in combination with the response surface methodology (RSM) while assuming the cutting force input (F-c), potential of tool wear (VBmax), surface roughness (Ra), and the length of tool-chip contact (L) as responses. Thereafter, the analysis of variance (ANOVA) strategy was embedded to detect the significance of the proposed model and to understand the influence of each process parameter. To optimize other input parameters (i.e., cutting speed of machining, feed rate, and the side cutting edge angle (cutting tool angle)), two advanced optimization algorithms were introduced (i.e., particle swarm optimization (PSO) along with the teaching learning-based optimization (TLBO) approach). Both algorithms proved to be highly effective for predicting the machining responses, with the PSO being concluded as the best amongst the two. Also, a comparison amongst the cooling methods was made, and MQL was found to be a better cooling technique when compared to the dry and the flood cooling.