Machine Learning for Advanced Manufacturing
暫譯: 先進製造的機器學習

Ranjan, Nishant, Tyagi, Rashi, Kumar, Ranvijay

Machine Learning for Advanced Manufacturing
  • 出版商: CRC
  • 出版日期: 2025-11-28
  • 售價: $5,570
  • 貴賓價: 9.5 折 $5,292
  • 語言: 英文
  • 頁數: 192
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032796898
  • ISBN-13: 9781032796895
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

This book presents the use of machine learning (ML) and artificial intelligence in advanced and new manufacturing processes, including core concepts and techniques of machine learning. It covers recent developments and research breakthroughs of tribological properties of polymer-, metal-, and ceramic-based additive manufactured components. It details the various technologies available to fortify the machine learning aspects in the advanced manufacturing processes, focusing on multidisciplinary domains of science and technology.

Features:

  • Establishes a relationship between ML and advanced manufacturing (AM) technology.
  • Helps understand the challenges and opportunities of using ML in materials processing, selection, and manufacturing for different areas.
  • Reviews the hybridization of techniques under ML for prediction and optimization for quality, productivity, and sustainability in manufacturing.
  • Provides a comprehensive overview of the state-of-the-art, future directions, latest developments, and recent developments in ML for AM.
  • Covers the basics of ML with implementation procedure and effectiveness
    details to provide a roadmap.

This book is aimed at researchers and graduate students in mechanical, manufacturing, and industrial engineering.

商品描述(中文翻譯)

這本書介紹了機器學習（ML）和人工智慧在先進及新型製造過程中的應用，包括機器學習的核心概念和技術。它涵蓋了聚合物、金屬和陶瓷基增材製造元件的摩擦學特性方面的最新發展和研究突破。書中詳細說明了可用於加強先進製造過程中機器學習方面的各種技術，重點關注科學和技術的多學科領域。

特點：
- 建立機器學習與先進製造（AM）技術之間的關係。
- 幫助理解在不同領域中使用機器學習於材料處理、選擇和製造的挑戰與機會。
- 回顧機器學習下技術的混合化，用於預測和優化製造中的質量、生產力和可持續性。
- 提供機器學習在先進製造中的最新狀態、未來方向、最新發展和近期進展的全面概述。
- 涵蓋機器學習的基本知識，包括實施程序和有效性細節，以提供一個路線圖。

本書旨在為機械、製造和工業工程的研究人員和研究生提供參考。

作者簡介

Nishant Ranjan is working as Assistant Professor at University Centre for Research and Development of Chandigarh University. He has won CII MILCA AWARD in the field of Additive Manufacturing in 2022. He has completed his PhD in Mechanical engineering from Punjabi University, Patiala, India. Fused deposition-modelling, extrusion, thermoplastic polymers, composition of thermoplastic polymers, natural and synthetic biopolymers, scaffolds printing, 3D printing technology, thermal, mechanical, morphological, and chemical properties of thermoplastic polymers, biocompatible and biodegradable fillers, reinforcement of materials are the main focus area of Nishant Ranjan.

Rashi Tyagi is currently working as an Assistant Professor in University centre for Research and Development at Chandigarh University. Dr. Tyagi has won CII MILCA AWARD in the field of electrical discharge coating in 2022. Dr. Tyagi has completed his PhD in Mechanical engineering from Indian Institute of Technology (Indian school of mines), Dhanbad, India. Her PhD work was focused on the surface modification by electrical discharge process for solid lubrication and enhanced tribological performance.

Ranvijay Kumar is an assistant professor in University Centre for Research and Development, Chandigarh University. He has received PhD in Mechanical Engineering from Punjabi University, Patiala. Additive manufacturing, shape memory polymers, smart materials, friction-based welding techniques, advance materials processing, polymer matrix composite preparations, reinforced polymer composites for 3D printing, plastic solid waste management, thermosetting recycling and destructive testing of materials are the skills of Kumar.

Ashutosh Tripathi is currently working as an Assistant Professor in University centre for Research and Development at Chandigarh University. He has worked in the field of composite preparation and simulation in 2022. He has completed his PhD in Mechanical engineering from Indian Institute of Technology (Indian school of mines), Dhanbad, India. His research work was focused on the acoustics properties of composite and its analytical prediction. He has completed his M.tech from IIT(ISM), Dhanbad, India.

Amit Verma is an accomplished Associate Professor at the School of Computer Science & Engineering (CSE) and the University Research Department at Bahra University. With over 12 years of academic experience, He has made significant contributions to the field of Artificial Intelligence (AI), particularly focusing on its applications in agriculture. His current research revolves around the detection of plant leaf diseases using advanced image processing and deep learning techniques.

作者簡介(中文翻譯)

Nishant Ranjan 目前擔任昌迪加爾大學研究與發展中心的助理教授。他於2022年獲得了CII MILCA獎，專注於增材製造領域。他在印度旁遮普大學（Punjabi University, Patiala）獲得機械工程博士學位。Nishant Ranjan的主要研究領域包括熔融沉積建模（Fused deposition-modelling）、擠出、熱塑性聚合物、熱塑性聚合物的組成、天然與合成生物聚合物、支架列印、3D列印技術、熱學、機械學、形態學及化學性質的熱塑性聚合物、生物相容性及可生物降解填料、材料增強等。

Rashi Tyagi 目前擔任昌迪加爾大學研究與發展中心的助理教授。Tyagi博士於2022年獲得CII MILCA獎，專注於電弧放電塗層領域。Tyagi博士在印度科技學院（Indian Institute of Technology, Dhanbad）獲得機械工程博士學位。她的博士研究工作集中於通過電弧放電過程進行固體潤滑的表面改性及增強摩擦學性能。

Ranvijay Kumar 是昌迪加爾大學研究與發展中心的助理教授。他在旁遮普大學（Punjabi University, Patiala）獲得機械工程博士學位。Kumar的專業技能包括增材製造、形狀記憶聚合物、智能材料、基於摩擦的焊接技術、高級材料加工、聚合物基複合材料的製備、用於3D列印的增強聚合物複合材料、塑料固體廢物管理、熱固性材料的回收及材料的破壞性測試。

Ashutosh Tripathi 目前擔任昌迪加爾大學研究與發展中心的助理教授。他於2022年在複合材料製備及模擬領域工作。他在印度科技學院（Indian Institute of Technology, Dhanbad）獲得機械工程博士學位。他的研究工作集中於複合材料的聲學性質及其分析預測。他在印度科技學院（IIT(ISM), Dhanbad）獲得碩士學位。

Amit Verma 是巴哈拉大學計算機科學與工程學院（School of Computer Science & Engineering, CSE）及大學研究部門的傑出副教授。擁有超過12年的學術經驗，他在人工智慧（Artificial Intelligence, AI）領域做出了重要貢獻，特別專注於其在農業中的應用。他目前的研究圍繞使用先進的影像處理和深度學習技術來檢測植物葉片疾病。

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