A5079632601- Advanced Machining and Optimization Techniques
- Advanced machining processes and optimization
- Additive Manufacturing and 3D Printing Technologies
- Additive Manufacturing Materials and Processes
- Advanced Surface Polishing Techniques
- Manufacturing Process and Optimization
- Aluminum Alloys Composites Properties
- Advanced Welding Techniques Analysis
- Industrial Vision Systems and Defect Detection
- Welding Techniques and Residual Stresses
- Diamond and Carbon-based Materials Research
- Metal and Thin Film Mechanics
- Aluminum Alloy Microstructure Properties
- Lubricants and Their Additives
- Injection Molding Process and Properties
- Innovations in Concrete and Construction Materials
- Advanced ceramic materials synthesis
- Machine Learning in Materials Science
- Erosion and Abrasive Machining
- Titanium Alloys Microstructure and Properties
- Material Properties and Applications
- Topology Optimization in Engineering
- 3D Printing in Biomedical Research
- Orthopaedic implants and arthroplasty
- Advanced materials and composites
Symbiosis International University
2014-2024
Bennett University
2024
National Taiwan University of Science and Technology
2022
Savitribai Phule Pune University
2017-2022
Dr. D. Y. Patil Medical College, Hospital and Research Centre
2019
D.Y. Patil University
2017
Fused deposition modeling (FDM) is one of the rapid prototyping methods that produce prototypes from plastic materials such as acrylonitrile butadiene styrene (ABS) by laying tracks semi-molten filament onto a platform in layer wise manner bottom to top. In FDM, critical factor select build up orientation model since it affects different areas like main material, support built time, total cost per part and most important mechanical properties part. view this, objective present study was...
To withstand in global manufacturing market it is necessary to acquire new technology for producing products. achieve this advanced material plays an important role. NiTi alloy one such class of which has unique properties as biocompatibility, high strength, corrosion resistance, shape memory effect etc. Due property these alloys have wide application the field defence, aerospace, and medicine. As applications required accuracy, precision strength are difficult machine by conventional...
The fused deposition modelling (FDM) technique involves the of a layer material according to geometry designed in software. Several parameters affect quality parts produced by FDM. This paper investigates effect FDM printing process on tensile strength, impact and flexural strength. effects such as speed, thickness, extrusion temperature, infill percentage are studied. Polyactic acid (PLA) was used filament for test specimens. experimental layout is response surface methodology (RSM)...
Structural integrity is a crucial aspect of engineering components, particularly in the field additive manufacturing (AM). Surface roughness vital parameter that significantly influences structural additively manufactured parts. This research work focuses on prediction surface additive-manufactured polylactic acid (PLA) specimens using eight different supervised machine learning regression-based algorithms. For first time, explainable AI techniques are employed to enhance interpretability...
Abstract Aluminium matrix composites (AMCs) exhibit promising mechanical properties that are required for the aeronautical and automotive industries. In current research, A413 (eutectic AlSi) alloy is employed as material, nickel based trialuminide (Al 3 Ni) with primary Si particles reinforcements to manufacture aluminium through stir casting process. A total of three varieties composite alloys containing 3, 6, 9 wt% were used fabricate cast composites, their microstructural features,...
Beryllium copper alloy has high strength, nonmagnetic, good wear resistance, corrosion fatigue strength and non-sparking qualities. These properties impose machining issues when machined by conventional processes. Electric discharge is a practically viable solution to machine such materials. Recently researchers have been attracted powder mixed electric with the advancement in technology. Present study focuses on developing Finite Element model of Powder Mixed Discharge Machining...
Nickel-titanium is one kind of smart material alloy; it capable to regain its earlier shape when heated. The machinablity constraints arises with the use conventional machines while machining NiTi alloys such as high tool wear, adverse chips, formation burr after and grinding. To overcome these difficulties non-conventional process, electrical discharge (EDM) are used. In this research, effect process parameters current (A), gap Voltage (V), pulse on time (Ton) off (Toff) performance like...
<div>The aim of this work is to develop a composite material and investigate its mechanical characteristics especially suited for automotive applications, finite element analysis (FEA) fabricated carried out examine the behavior composites. Utilizing aluminum alloy ingot (LM13) as matrix zirconium diboride (ZrB<sub>2</sub>) reinforcement, creates composites with improved physical properties by accounting impact, tensile, compression, hardness behavior. FEA used increasing...
This study investigates the influence of Laser Powder Bed Fusion (LPBF) processing parameters high-performance Ti6Al4V components on mechanical properties and microstructural uniformity. Experimental results indicate that lower laser power (200–203 W) moderate scan speeds (600–604 mm/s) optimize hardness Hatch distance (0.10–0.11 mm) layer thickness (0.04–0.05 significantly impact hardness, with specific parameter combinations yielding superior results. A comparative assessment six...
In this study, we investigate the application of supervised machine learning algorithms for estimating Ultimate Tensile Strength (UTS) Polylactic Acid (PLA) specimens fabricated using Fused Deposition Modeling (FDM) process. 31 PLA were prepared, with Infill Percentage, Layer Height, Print Speed, and Extrusion Temperature serving as input parameters. The primary objective was to assess accuracy effectiveness four distinct classification algorithms, namely Logistic Classification, Gradient...
This research focuses on the relationship between tensile strength of PLA material and several 3D printing parameters, such as infill density, layer height, print speed, extrusion temperature, utilizing Fused Deposition Modeling (FDM) method Additive Manufacturing (AM). Tensile samples was determined in compliance with ASTM D638 standard, experiments were carried out according to a planned arrangement. Six distinct methods used optimize strength: Particle Swarm Optimization (PSO), Teaching...
The foremost aim of Electrical Discharge Machining (EDM) users and manufactures is to obtain a better process stability, maximum productivity, precise accurate machining the component with minimum tool wear. For achieving efficiency in EDM, selection setting input parameter crucial step. This study investigated effect parameters such as workpiece electrical conductivity, gap current, voltage, pulse-on-time pulse-off-time on responses namely material removal rate (MRR) wear (TWR). Experiments...
Abstract In this study, we introduce application of Neurosymbolic Artificial Intelligence (NSAI) for predicting the impact strength additive manufactured polylactic acid (PLA) components, representing first-ever use NSAI in domain manufacturing. The model amalgamates advantages neural networks and symbolic AI, offering a more robust accurate prediction than traditional machine learning techniques. Experimental data was collected synthetically augmented to 1000 points, enhancing model’s...