Murali Krishnan R

Employment

• Nehru institute of Engineering and Technology Assistant Professor
  2026 - Present
• Karpagam Institute of Technology Assistant Professor
  2021 - Present
• Sree Sowdambika College of Engineering Assistant Professor
  2020 - 2021
• VSB College of Engineering Technical Campus Assistant Professor
  2016 - 2020
• VSB Engineering College Assistant Professor
  2015 - 2016

Education

• Sethu Institute of Technology, Anna University Post Graduate
  2013 - 2015
• Sethu Institute of Technology, Anna University Under Graduate
  2010 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (20)

• A hybrid machine learning framework for predicting and optimizing the compressive strength and energy absorption of 3D-printed PLA lattices
  Discover Mechanical Engineering 2026 DOI: 10.1007/s44245-026-00215-w
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• Additive manufacturing for space applications: A review of materials, methods, and future frontiers
  China Welding English Edition 2026 DOI: 10.1016/j.cwe.2025.100010
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• Performance assessment of stir-cast B4C–ZrB2/AA2014 composites and their friction stir-welded joints for advanced engineering applications
  Materials and Manufacturing Processes 2026 DOI: 10.1080/10426914.2026.2647819
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• Influence of Geometry and Infill Density on the Mechanical Performance of Additively Manufactured Ti6Al4V Triply Periodic Minimal Surface Lattice Structures for Biomedical Implants
  Journal of Materials Engineering and Performance 2026 DOI: 10.1007/s11665-025-12878-9
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• Investigating the Effect of Volumetric Energy Density on Tensile Characteristics of As-Built and Heat-Treated AlSi10Mg Alloy Fabricated by Laser Powder Bed Fusion
  Advanced Engineering Materials 2025 DOI: 10.1002/adem.202401924
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• Synthesis and Characterization of AA6351/SiC Composites Using Ball Milling Combined with Hot Extrusion
  SAE International Journal of Materials and Manufacturing 2025 DOI: 10.4271/05-18-01-0003
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• Optimizing Cutting Parameters for Effective Turning of EN-31 Steel by Utilizing Vegetable-Based Cutting Fluids as a Coolant
  SAE International Journal of Materials and Manufacturing 2025 DOI: 10.4271/05-18-01-0006
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• Enhancing predictive modeling for additive manufacturing components using hybrid machine learning algorithms
  Discover Materials 2025 DOI: 10.1007/s43939-025-00437-x
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• Achieving multi-response optimization of control parameters for Wire-EDM on additive manufactured AlSi10Mg alloy using Taguchi-grey relational theory
  Engineering Research Express 2025 DOI: 10.1088/2631-8695/ada225
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• Optimizing laser powder bed fusion parameters for enhanced hardness of Ti6Al4V alloys: A comparative analysis of metaheuristic algorithms for process parameter optimization
  AIP Advances 2025 DOI: 10.1063/5.0262978
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