Jatinder Kumar Bücher

Die Entwicklung und Charakterisierung von Verbundwerkstoffen auf Epoxidmatrixbasis, verstärkt mit Jute- und Glasfasern, steht im Mittelpunkt dieses Buches. Es wird ein innovativer Ansatz zur Gestaltung dieser hybriden Materialien vorgestellt, der deren Verhalten unter verschiedenen Bedingungen untersucht. Die Ergebnisse könnten bedeutende Anwendungen in der Automobilindustrie, im Bauwesen und in der Biomedizin ermöglichen. Zudem wird die Umweltverträglichkeit und Nachhaltigkeit dieser Werkstoffe hervorgehoben, was zu Fortschritten in der Materialwissenschaft führen könnte.

Aluminiummatrix-Verbundwerkstoffe, die Siliziumkarbid und Molybdän enthalten, zeichnen sich durch hervorragende mechanische und thermische Eigenschaften aus, die sie für technische Anwendungen prädestinieren. Die Funkenerosion (EDM) wird als präzises Verfahren zur Bearbeitung dieser harten Materialien beschrieben. Mit dem Taguchi-Ansatz wird die optimale Kombination von Bearbeitungsparametern ermittelt, während die Graue-Relationen-Analyse zur Bewertung der Wechselwirkungen zwischen diesen Parametern und der Bearbeitungsleistung dient. Ziel ist die Verbesserung der EDM-Leistung dieser speziellen Verbundwerkstoffe durch systematische Analyse.

Uncertain mathematical models play a crucial role in addressing communication and signal transmission challenges, a concept pioneered by Claude Shannon in 1948. The book emphasizes the importance of formulating precise questions to measure the value of information in reducing uncertainty. It presents a quantitative approach for developing diverse models applicable across various scientific disciplines, highlighting their relevance in statistical physics, thermodynamics, nonlinear physics, and quantum computation. The volume aims to construct models that incorporate probability and fuzzy distributions for broader applications in mathematical sciences.

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.

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.

Focusing on advanced analytical methods, this volume explores Operations Research, which aids in optimizing decision-making to enhance industrial output. It covers a variety of techniques such as econometric methods, data envelopment analysis, and neural networks, emphasizing the construction of mathematical models to describe complex systems. The book aims to provide readers with effective optimization strategies tailored to business-oriented challenges, making it a valuable resource for those seeking to improve decision-making processes in various industries.

Exploring the intersection of sustainability and innovative materials, this work investigates the use of titanium dioxide in creating self-cleaning cement. By mixing titanium dioxide with white cement in various ratios and forms, including doped variants, the research demonstrates the material's ability to harness sunlight and UV light for surface cleaning and color degradation. This study highlights the potential of advanced photocatalytic materials in enhancing the environmental performance of building materials, aligning with broader goals of resource efficiency and health in construction.

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.