..., while Python-based image processing (OpenCV and polynomial regression) extracted detailed illumination profiles. Response Surface Methodology ( RSM ) was applied in Minitab to evaluate factor significance and to determine the optimal parameter set. Findings The results showed that spot efficiency...

...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...

... mechanisms during the milling of AISI 316 Ti alloy. Furthermore, the study aims to determine the estimation method that gives optimum results by estimating the output parameters using response surface methodology (RSM), artificial neural network (ANN) and adaptive network-based fuzzy inference system (ANFIS...

... (SCF) model to evaluate CO2 emissions per unit material removed, aiming to enhance sustainable production practices in mass manufacturing. Design/methodology/approach Using response surface methodology (RSM), experiments were conducted on 5,000, 6,000 and 7,000 series aluminum alloys to assess...

... orthogonal array. The experimental measurement findings for Ra and AV were adjusted utilizing the Grey Relational Analysis (GRA), the Response Surface Method (RSM) and Artificial Neural Networks (ANN) to generate prediction values. SEM detected drill-tip adhesions and chip morphology and they were analyzed...

... and Güllü, 2014). One of the experimental analysis techniques used successfully to find optimal machining efficiency in the machining process is the response surface methodology (RSM). It was reported that the RSM strategy should do have a benefit out over Taguchi technique (Mia, 2018). Box and Wilson...

... parameters and their corresponding relationship between one or more measured dependent responses. Using Design Expert.8 evaluation software package, a simpler and more efficient statistical RSM model has been designed. RSM models are created by using 27 experimental data measurements obtained from different...

...M.P. Jenarthanan; Karthikeyan M.; Naresh Neeli Purpose The purpose of this paper is to develop a mathematical model for delamination during drilling by using a response surface methodology (RSM) and also to determine how the input parameters (tool diameter, spindle speed and feed rate) influence...

...M. P. Jenarthanan; A Ram Prakash; R Jeyapaul Purpose – The purpose of this paper is to develop a mathematical model for optimizing the metal removal rate (MRR) through Response Surface Methodology (RSM). The developed model helps us to analyze the influence of individual input machining...

... tensile strength, Shore-D hardness, Rockwell hardness, Izod strength, Charpy strength and nugget area. Design/methodology/approach – Optimization of process parameters were carried out based on response surface methodology (RSM) and significant parameters were obtained by performing...