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Jatinder Kumar

    ELECTRICAL DISCHARGE MACHINING OF ALUMINIUM METAL MATRIX COMPOSITES
    TURNING OF EN-24 ALLOY STEEL
    POLYMER MATRIX COMPOSITE: FABRICATION AND CHARACTERIZATION
    • POLYMER MATRIX COMPOSITE: FABRICATION AND CHARACTERIZATION

      EPOXY BASED POLYMER MATRIX COMPOSITES REINFORCED WITH JUTE AND GLASS FIBERS

      • 72 pages
      • 3 hours of reading

      Focusing on the innovative use of epoxy matrix-based composites, this book examines the reinforcement of composites with jute and glass fibers. It covers the development, fabrication, and characterization of these materials, highlighting their potential applications across diverse industries such as automotive, construction, and biomedical fields. By analyzing the behavior of these hybrid composites under various conditions, the work emphasizes advancements in material science and the importance of sustainability and environmental considerations in composite design.

      POLYMER MATRIX COMPOSITE: FABRICATION AND CHARACTERIZATION
    • TURNING OF EN-24 ALLOY STEEL

      Process Optimization

      • 84 pages
      • 3 hours of reading

      Focusing on machining performance for EN-24 alloy steel, the book explores the effects of cutting fluids and various parameters like spindle speed, feed rate, and depth of cut during CNC turning. Utilizing an L18 orthogonal array and Taguchi method for optimization, it reveals that spindle speed significantly influences surface quality and tool life. The study highlights the importance of all cutting factors on Material Removal Rate (MRR), providing insights into optimal machining conditions to enhance productivity and effectiveness in handling this challenging material.

      TURNING OF EN-24 ALLOY STEEL
    • ELECTRICAL DISCHARGE MACHINING OF ALUMINIUM METAL MATRIX COMPOSITES

      FABRICATION AND MACHINING PROCESS OPTIMIZATION

      • 100 pages
      • 4 hours of reading

      Focusing on the optimization of Electric Discharge Machining (EDM) for aluminum matrix composites reinforced with silicon carbide and molybdenum, this work employs the Taguchi method to identify the best machining parameters. Grey Relational Analysis is utilized to assess the impact of various parameters on EDM performance, accounting for data uncertainties. The methodology systematically explores the interactions between machining parameters to enhance performance, making it a valuable resource for engineering applications involving these advanced materials.

      ELECTRICAL DISCHARGE MACHINING OF ALUMINIUM METAL MATRIX COMPOSITES