Manish Dadhich (144 results)

Condition: New.

Condition: New. In English.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Paperback. Condition: Brand New. 116 pages. 8.66x5.91x0.27 inches. In Stock.

Condition: New.

Condition: New.

Paperback. Condition: Brand New. 116 pages. 8.66x5.91x0.27 inches. In Stock.

Paperback. Condition: Brand New. 116 pages. 8.74x5.98x0.59 inches. In Stock.

Paperback. Condition: Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock.

Paperback. Condition: Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock.

Taschenbuch. Condition: Neu. Flow Simulation (CFD) & Fatigue Analysis (FEA) of a Centrifugal Pump | Manish Dadhich (u. a.) | Taschenbuch | 120 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659611056 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. …

Condition: New.

Condition: New.

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | In this research work piston design optimisation is performed using DOE methods and simulates using Ansys FEM software. DOE method Taguchi is selected for design of experiments for this research work. Total five factors which are following material of piston, crown temperature of piston, gas pressure of piston, thermal coating of crown head and last factor is geometrical design of piston. Each factor have four level. Orthogonal array for 16 experiments are solved for research study. All 16 experiments are solved using Ansys FEM software. Two response parameters named thermal stress and deformation is selected for this research work. Signal to noise ratio analysis is performed for both responses and rank of factor and best case is identified for this study. In both cases factor design and temperature of crown surface is most identical and best boundary condition for piston design optimisation. Analysis of variance is also performed for this research study and non-linear modelling equation is generated with approval of adequacy check for these modelling equations. Composite desirability function is used to modify the optimum analysis for both responses named stress and deformation.…

Condition: New.

Condition: New. In English.

Condition: New.

Condition: New.

Condition: New.

Paperback. Condition: New. A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AI's rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education. This book's primary objective is to serve as a resource for academicians, independent researchers, research scholars, students, scientists, libraries, and industry experts. Through a diverse range of topics, it investigates how generative AI can advance Sustainable Development Goals, making education more accessible, individualized, and effective. By harnessing the power of AI, the book argues, education can act as a catalyst for positive change, empowering individuals and fostering progress toward a sustainable and equitable future. The recommended topics within each part provide a structured framework for deepening the understanding of Generative AI's role in shaping the future of education, making this book a valuable reference for scholars and practitioners alike.…

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 572 | Sprache: Englisch | Produktart: Bücher | A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AI's rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education.…

Condition: New.

Paperback. Condition: New. A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AI's rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education. This book's primary objective is to serve as a resource for academicians, independent researchers, research scholars, students, scientists, libraries, and industry experts. Through a diverse range of topics, it investigates how generative AI can advance Sustainable Development Goals, making education more accessible, individualized, and effective. By harnessing the power of AI, the book argues, education can act as a catalyst for positive change, empowering individuals and fostering progress toward a sustainable and equitable future. The recommended topics within each part provide a structured framework for deepening the understanding of Generative AI's role in shaping the future of education, making this book a valuable reference for scholars and practitioners alike.…