Application of the modified similarity-based method for cutting fluid selection

Abstract

An enormous amount of heat is released at the contact surface during machining of a component/partdue to friction, rubbing action and cutting forces generated. Cutting fluids are generally applied to provide lubrication and cooling at the tool and workpiece interface. They also play a beneficial role in machining operations, and enhance job shop's productivity, tool life and quality of the finished parts/products. In addition to these, they act as an important contributor in optimizing a machining operation. However, a cutting fluid suitable for a particular machining requirement may not be equally good for other applications and hence, there is a need for selection of the appropriate type of cutting fluid with a view to facilitate superlative and uncomplicated machining operation. Several factors, such as material ofthe cutting tool, operator's safety, compatibility with the machine tool, reliability and rancidity of the cutting fluid, and cost may all combine to limit the effectiveness or applicability of a cutting fluid. Therefore, the present study explores the potentiality of a modified similarity-based method, which is a multi-criteria decision making tool, in solving cutting fluid selection problems. To illustrate the procedural steps of this method, two real time problems are solved. The results obtained highly corroborate with the opinions of the experts in the related field, demonstrating the applicability of the said method.

Development of entropy embedded COPRAS-ARAS hybrid MCDM model for optimizing EDM parameters while machining high carbon chromium steel plate

“…For the last few years, MCDM serves as an effective tool in solving numerous decision-making challenges in wide variety of areas and several researchers have already implemented different MCDM tools for choosing the right option for example material handling equipment selection, 14,15 material selection, 16,17 cutting parameters selection, 18,19 cutting fluid selection 20 etc. related to industry.…”

An integrated approach for cutting fluid selection using multiple attribute decision making methods

“…The evaluation of performance of coolant liquid for green manufacturing by an amalgamated MCDM approach was conducted to select the optimal cutting fluid [14]. The temperature on Chip tool interface, cutting force, wear on tool and roughness on the machined surface are the criterion considered to evaluate the single global lubricant index to opt the appropriate lubricant and to rank it applying AHP and TOPSIS method for steel turning operation [15].A modified similarity based method is adopted for cutting fluid selection considering cutting tool material, operator safety, rancidity, reliability and compatibility with the tool material [16].…”

A Comprehensive Study of Weighted Product Model for Selecting the Best Product in Our Daily Life

“…From the above literature it can be seen that most of the researchers adopted and applied different MCDM tools for taking effective decisions related to different industry e.g. manufacturing industry (Dey and Chakraborty, 2016;Prasad and Chakraborty, 2018), textile industry (Kundakci and Tuş , project management and evaluation (Chaghooshi et al, 2016;Rathi et al, 2016), supplier selection problems (Prasad et al, 2017;Koganti et al, 2019), transportation and logistics (Tzeng et al, 2005;Efendigil et al, 2008), energy sector (Kowalski et al, 2009;Tsoutsos et al, 2009) etc. but very few research works have been recorded where MCDM tools are applied for taking strategic decisions while purchasing some household appliances which are related to our daily life problems like choosing of an appropriate electronic gadgets e.g.…”