Rajkumar Chadge
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View article: Study of the effect of nano-based lubricant in minimum quantity cooling lubrication (MQCL) for machining.
Study of the effect of nano-based lubricant in minimum quantity cooling lubrication (MQCL) for machining. Open
View article: Enhancement of Proton Exchange Membrane Fuel Cell (PEMFC) Design Parameters and Diagnostics Using Taguchi Method
Enhancement of Proton Exchange Membrane Fuel Cell (PEMFC) Design Parameters and Diagnostics Using Taguchi Method Open
View article: A sustainable bioengineering approach for enhancing black cotton soil stability using waste foundry sand
A sustainable bioengineering approach for enhancing black cotton soil stability using waste foundry sand Open
The disposal of waste foundry sand (WFS) poses environmental challenges, necessitating sustainable bioengineering solutions. This study investigates WFS as a stabilizer for black cotton soil (BCS) to enhance its geotechnical properties for…
View article: Qualitative enhancement in machining efficiency of SNCM8 alloy through hybrid ann-taguchi optimization approach
Qualitative enhancement in machining efficiency of SNCM8 alloy through hybrid ann-taguchi optimization approach Open
The present study optimizes hard-to-machine materials using hybrid modeling involving artificial neural networks (ANN) and the Taguchi method. The main objective of this work is to reduce tool wear and improve the material removal rate (MR…
View article: Development of an artificial intelligence model for wire electrical discharge machining of Inconel 625 in biomedical applications
Development of an artificial intelligence model for wire electrical discharge machining of Inconel 625 in biomedical applications Open
Superalloys, particularly nickel alloys such as Inconel 625, are increasingly used in biomedical engineering for manufacturing critical components such as implants and surgical instruments due to their exceptional mechanical properties and…
View article: Correction to: Automatic liver segmentation using U-Net deep learning architecture for additive manufacturing
Correction to: Automatic liver segmentation using U-Net deep learning architecture for additive manufacturing Open
View article: Solar energy-assisted CCHP cycles for dairy applications in rural sector with effect assessment of reheating on novel CO <sub>2</sub> working fluid
Solar energy-assisted CCHP cycles for dairy applications in rural sector with effect assessment of reheating on novel CO <sub>2</sub> working fluid Open
This study investigates two configurations of novel solar energy-assisted combined cooling, heating and power (CCHP) systems suitable for the dairy industry. The system uses carbon dioxide (CO2) as the working fluid. The cooling and heatin…
View article: Machinability of different cutting tool materials for electric discharge machining: A review and future prospects
Machinability of different cutting tool materials for electric discharge machining: A review and future prospects Open
Electric Discharge Machining (EDM) is essential for shaping and cutting tool steel. EDM’s precision in machining difficult materials and tool steel characteristics are well known. EDM efficiency requires reliable performance measurement pa…
View article: Performance evaluation of a mechanical ventilation simulation model for diverse respiratory complications
Performance evaluation of a mechanical ventilation simulation model for diverse respiratory complications Open
Medical life-saving techniques include mechanical ventilation. During the COVID-19 epidemic, the lack of inexpensive, precise, and accessible mechanical ventilation equipment was the biggest challenge. The global need exploded, especially …
View article: An application of hybrid Taguchi-ANN to predict tool wear for turning EN24 material
An application of hybrid Taguchi-ANN to predict tool wear for turning EN24 material Open
This work is an attempt to predict tool wear for turning EN24 material by the hybrid Taguchi-ANN (Taguchi-Artificial Neural Network) method. The objective is to minimize the tool wear. The independent factors are cutting environment, feed …
View article: Development of Hybrid Optimization Model Using Grey‐ANFIS‐Jaya Algorithm for CNC Drilling of Aluminium Alloy
Development of Hybrid Optimization Model Using Grey‐ANFIS‐Jaya Algorithm for CNC Drilling of Aluminium Alloy Open
Aluminium alloys are gaining popularity in a diversity of engineering applications because of their extraordinary features such as strength, resistance to oxidation, and so on. AA5052 (Al‐Mg series) is generally used in antirust uses, part…
View article: Optimization of wire spark erosion machining of Grade 9 titanium alloy (Grade 9) using a hybrid learning algorithm
Optimization of wire spark erosion machining of Grade 9 titanium alloy (Grade 9) using a hybrid learning algorithm Open
Manufacturing has grown challenging because of the increased usage of harder materials, such as titanium alloys, in many industries, such as aerospace, automobiles, and marine. Conventional material removal procedures are not suitable for …
View article: Optimization of Machining Parameters for Enhanced Performance of Glass-Fibre-Reinforced Plastic (GFRP) Composites Using Design of Experiments
Optimization of Machining Parameters for Enhanced Performance of Glass-Fibre-Reinforced Plastic (GFRP) Composites Using Design of Experiments Open
A high strength-to-weight ratio, stiffness, fatigue resistance, a low coefficient of thermal expansion, and tailorable properties make glass-fibre-reinforced plastic (GFRP) a popular choice for a wide range of applications, including aircr…
View article: Machinability of Titanium Grade 5 Alloy for Wire Electrical Discharge Machining Using a Hybrid Learning Algorithm
Machinability of Titanium Grade 5 Alloy for Wire Electrical Discharge Machining Using a Hybrid Learning Algorithm Open
Titanium alloys have found widespread use in aviation, automotive, and marine applications, which makes their implementation in mass production more challenging. Conventional methods of removing these alloy materials are unsuitable because…
View article: An Optimized Machine Learning Model for the Early Prognosis of Chronic Respiratory Diseases with specific focus On Asthma
An Optimized Machine Learning Model for the Early Prognosis of Chronic Respiratory Diseases with specific focus On Asthma Open
Clinicians and those into the field of clinical research often evaluate the benefits against costs and inconvenience of preventive interventions for asthma by performing risk identification and assessment through the application of Artific…
View article: Assessment of Machining of Hastelloy Using WEDM by a Multi-Objective Approach
Assessment of Machining of Hastelloy Using WEDM by a Multi-Objective Approach Open
Superalloys are a much-needed material for abundant engineering fields, such as nuclear-powered reactor components and aeronautics. Owing to their exceptional characteristics, such as higher thermal conductivity, they can be difficult to m…
View article: A Comparative Study on Predication of Appropriate Mechanical Ventilation Mode through Machine Learning Approach
A Comparative Study on Predication of Appropriate Mechanical Ventilation Mode through Machine Learning Approach Open
Ventilation mode is one of the most crucial ventilator settings, selected and set by knowledgeable critical care therapists in a critical care unit. The application of a particular ventilation mode must be patient-specific and patient-inte…
View article: A review of renewable hydrogen generation and proton exchange membrane fuel cell technology for sustainable energy development
A review of renewable hydrogen generation and proton exchange membrane fuel cell technology for sustainable energy development Open
Beyond its typical usage as an economical fuel for creating ammonia, methanol, and petroleum refineries, hydrogen has become a modern form of energy. Energy-scarce advanced countries like Japan and Korea are concerned about energy privacy …
View article: A Rare Case of Anaplastic Astrocytoma
A Rare Case of Anaplastic Astrocytoma Open
Introduction: In adult’s glioblastoma is the most common malignant tumor, which occurs due to the abnormal growth of astrocytes cells. Slightly it is more common in men than females. Standard and quality of care and advanced treatment make…
View article: Integration of ROBO-analyzer for forward and inverse kine-mastics of 6 DOF robot to check flexible DH parameters.
Integration of ROBO-analyzer for forward and inverse kine-mastics of 6 DOF robot to check flexible DH parameters. Open
The installation of the robotic arm is based on the type of application to be carried out. On the basis of the application, the task performs by the industrial robotic arm is the command of inputs provided by the operator. The changes in t…