.... To improve machining efficiency and surface quality, it seeks to determine the ideal process parameters that maximise material removal rate (MRR) while minimising surface roughness. To better understand the metallurgical reaction of cladded layers under high-pressure abrasive erosion, the study also...

...Harun Yaka Purpose This study aims to optimize the machining parameters on the average surface roughness (Ra), metal removal rate (MRR), and overcut (OC) values of DIN 1.2365 (H10) steel during the Electrical Discharge Machining (EDM). Design/methodology/approach The cutting parameters were...

...Mehmet Albaşkara Purpose This study aims to analyze key performance metrics such as surface roughness and material removal rate in the WEDM of Hardox 450 steel using artificial intelligence-based (ANN) and statistical (RSM) modeling approaches. The study also aims to establish a multidisciplinary...

...Ömer Erkan Purpose This study aims to optimize the surface roughness (Ra) of new-generation WP7V tool steel processed using wire electrical discharge machining (WEDM). The investigation identifies the most significant machining parameters and their effects using Taguchi and response surface...

...Mustafa Ayyıldız Purpose This paper explores the machining of aluminum alloy, focusing on optimizing and predicting surface roughness through advanced methods. The study investigates the optimization and prediction of surface roughness in milling aluminum alloy using cryogenically treated and non...

...Aysun Şirin; Ayhan Aytaç; Ulvi Şeker Purpose Surface roughness and delamination during the milling of carbon fiber reinforced polymer (CFRP) composite parts in aviation can lead to component rejection. This article aims to optimize cutting conditions to reduce these failures while ensuring...

... and experiments were conducted to investigate the impact of process parameters on crack depth, surface roughness, and surface topography during ultrasonic-assisted surface and axial grinding. Additionally, the mechanism of crack formation was explored. Findings During ultrasonic-assisted grinding, the average...

.... Design/methodology/approach In order to obtain defect-free products meeting the required specifications, researchers have conducted extensive experiments using powder bed fusion (PBF) process measuring the performance indicators (namely, relative density, surface roughness and hardness) to specify a set...

.... Experimental procedure has been designed via Taguchi method. Results were evaluated via Analysis of Variance (ANOVA) method. Findings Etching time is the most effective factor in PCM quality of AISI 304 stainless steel. Surface roughness is sensitive to geometrical pattern of the phototool for PCM of AISI...

...), together with three separate composite materials, were evaluated with the help of three performance characteristics, i.e. material removal rate (MRR), cutting force (CF) and surface roughness (SR). Response surface methodology and analysis of variance (ANOVA) both were initially used for analyzing...

...M. Kaladhar Purpose The present study spotlights the single and multicriteria decision-making (MCDM) methods to determine the optimal machining conditions and the predictive modeling for surface roughness (Ra) and cutting tool flank wear (VB) while hard turning of AISI 4340 steel (35 HRC) under...

... are employed to examine significant cutting parameters and develop mathematical models for VB (tool flank wear) and R_a (surface roughness). Multi-response desirability optimization approach is used to investigate optimum turning parameters for simultaneously minimizing VB...

... increased enormously. The purpose of this paper is to study the surface roughness during the turning of Al-10%SiC and Al-5%SiC-5%Gr composites under different cutting conditions. Design/methodology/approach Artificial neural network (ANN) has been effectively employed in solving problems with effortless...

...) and desirability function analysis (DFA). Design/methodology/approach In this work, experiments were carried out as per the Taguchi experimental design and an L27 orthogonal array was used to study the influence of various combinations of process parameters on surface roughness and delamination factor...

...Rajeswari S.; Sivasakthivel P.S. Purpose The purpose of this paper is to determine the optimum level of geometrical parameters such as helix angle, nose radius, rake angle and machining parameters such as cutting speed, feed rate and depth of cut to arrive minimum surface roughness and tool wear...

...M.P. Jenarthanan; A. Ram Prakash; R. Jeyapaul Purpose – The purpose of this paper is to develop a mathematical model for metal removal rate and surface roughness through Taguchi method and analyse the influence of the individual input machining parameters (cutting speed, feed rate, helix angle...

...N. Naresh; M.P. Jenarthanan; R. Hari Prakash Purpose – In milling process the surface roughness and delamination are the most important performance characteristics, which are influenced by many factors like fibre orientation angle, helix angle, feed rate and spindle speed. The selection...

...M.P. Jenarthanan; R. Jeyapaul; N. Naresh Purpose The purpose of this paper is to develop a mathematical model for surface roughness and delamination through response surface methodology (RSM) and analyse the influences of the entire individual input machining parameters (cutting speed, fibre...

.... The present work analyzes the machining of Al/SiC composites for surface roughness. An empirical model has been developed to correlate the machining parameters and their interactions with surface roughness. Response surface regression and analysis of variance are used for making the model. The developed model...

...Yusuf Sahin; A. Riza Motorcu This paper presents a study of the development of surface roughness model when turning the mild steel hardened up to 484 HV with mixed alumina ceramic (KY1615) and coated alumina ceramic cutting tools (KY4400). The model was developed in terms of main cutting parameters...