Bulletin of the Polish Academy of Sciences: Technical Sciences

The expanding proliferation of components for engineering applications requires greater optimisation of parameters, which consequently increases the need for more efficient boring practices. The Taguchi Pareto-Box Behnken design is an effective optimisation procedure for the process parametric optimisation of the IS 2062 E250 steel plates. However, the weakness of the Taguchi method in its inability to distinguish which parameters have greater effects on the boring process needs to be further suppressed. Consequently, this study investigates the coupling of the firefly algorithm to the Taguchi-Pareto-Box Behnken design method for the processing of the IS 2062 E250 steel plates during the boring operation. Linear programmes were developed for the problem formulation with two variants of the objective function definition. In the first variant, the Box Behnken design optimized parameters and the firefly-oriented optimisation procedure was addressed to attain optimal solutions. For the second variant, a regression equation was substituted as the objective function and the firefly procedure was implemented to obtain the optimal solutions. Based on a defined population for the problem, an initial test of convergence was actualized and 50 iterations were found as an effective convergence point for the iterations. Numerical simulation coupled with experimental data analysis was conducted to ascertain the effectiveness of the proposed method. Literature data on IS 2062 E250 steel plate processing on the CNC machine was used in the testing. The results revealed that the proposed method exhibits good performance for boring operations in machine shops. Using the Taguchi-Pareto-Box Behnken-firefly algorithm, the obtained results are promising. The application of this proposal would aid machining to better decisions that improve the quality of products and reduces the cost of production.

show abstract

Selection of cutting insert for longitudinal turning of unalloyed steel using robust decision making

Madić,

Trifunović,

Petrović

2024

XIX International May Conference on Strategic Management – IMCSM24 Proceedings - Zbornik Radova

View full text Add to dashboard Cite

Cutting tool is a very important element of machining production system. It is primarily responsible for material removal in the form of chips, but also significantly affects multiple machinability characteristics, surface finish, attainable dimensional accuracy, productivity and costs. As for a given machining operation there is a number of alternative cutting tools and inserts from many manufacturers, each characterized by a unique set of characteristics, the selection of a particular cutting tool can be very complex task, yet solvable within the framework of multi-criteria decision making (MCDM) methodology. This study is focused on the development of an MCDM model for selection of the most suitable cutting insert for medium machining of unalloyed structural steel. The model was developed by available information, catalogues of cutting tool manufacturers and machining estimations, and consisted of fourteen alternative cutting inserts from eight well-known cutting tool manufacturers and seven criteria. Initially, the assessment and ranking of alternative cutting inserts was derived by the six multi-criteria decision making (MCDM) methods, however, due to ranking inconsistency, the application of the robust decision making rule was adopted for solving the cutting insert MCDM problem.

show abstract

Bulletin of the Polish Academy of Sciences: Technical Sciences

Cited by 3 publications

References 22 publications

Solving Economic and Emission Dispatch Problem Using Search And Rescue Optimization Technique

Solving Economic and Emission Dispatch Problem Using Search And Rescue Optimization Technique

A comparison of two hybrid optimization techniques: the Taguchi-BBD-firefly and the Taguchi-regression-firefly methods on the IS 2062-E250 steel plates boring problem

Selection of cutting insert for longitudinal turning of unalloyed steel using robust decision making

Contact Info

Product

Resources

About