Mozammel Mia

TL;DR: In this article, the authors presented component-stage based holistic models of energy, cost, and carbon emission, validated through the experimental data obtained from turning of Haynes 25 alloy conducted under nanofluid assisted minimum quantity lubrication.

TL;DR: An optimization study of process parameters of FFF using neural network algorithm (NNA) based optimization to determine the tensile strength, flexural strength and impact strength of ABS parts and compares the efficacy of NNA over conventional optimization tools.

TL;DR: P porous Mg-based biodegradable structures have been fabricated through the hybridization of elemental alloying and spark plasma sintering technology and validate the formation of various biocompatible phases, which enhances the corrosion performance and biomechanical integrity.

TL;DR: In this paper, an experimental investigation has been performed in turning of Ti-6Al-4V by using coated carbide tool employed under dry condition and pressurized coolant at the flank and rake surfaces concurrently.

TL;DR: Random Forest ensembles combined with Synthetic Minority Over-sampling technique showed the highest performance when the flatness levels are discretized taking into account industrial requirements, and resulted in a very useful strategy to avoid the strong limitations that small experiment datasets produce in the accuracy of machine-learning models.