Machining Polymer Matrix Composites: Tools, Techniques, and Sustainability

Academic scholars engaged in the machining of polymer matrix composites encounter formidable challenges, including material property variations, complex structures, and the quest for high surface quality. Insufficient comprehensive resources exacerbate these hurdles, hindering scholars' ability to develop efficient and sustainable machining techniques. Addressing this problem necessitates in-depth knowledge, practical guidance, and insights into the environmental impact of machining these composites. Machining Polymer Matrix Composites: Tools, Techniques, and Sustainability emerges as the definitive solution. Edited by Francisco Mata Cabrera and Issam Hanafi, this book provides a comprehensive understanding of machining processes specific to polymer matrix composites. Covering tool selection, cutting parameters, surface quality, and tool wear, it equips scholars with practical knowledge to surmount the intricacies of machining these materials. With detailed insights into turning, milling, drilling, grinding, and the latest advancements in high-speed and ultrasonic machining, the book offers a comprehensive toolbox for scholars seeking to optimize their machining techniques. The book explores energy consumption, waste generation, and emissions, and guides scholars toward sustainable machining processes. The inclusion of case studies facilitates practical applications, providing valuable insights into challenges and opportunities. This comprehensive solution, encompassing knowledge, practical guidance, and sustainability considerations, empowers academic scholars to achieve high-quality machined components while minimizing their environmental footprint. Machining Polymer Matrix Composites: Tools, Techniques, and Sustainability has become an indispensable resource for academic scholars. Whether for beginners seeking fundamental understanding or experienced professionals in need of advanced insights, this book caters to diverse needs. By delving into topics such as tool selection, cutting parameters, surface quality, and environmental impact, the book equips scholars with the necessary tools to excel in machining polymer matrix composites.Biographical NoteFrancisco Mata Cabrera has over 200 publications, including books, book chapters, journal articles, and conference communications. Participation as principal or collaborator researcher in 20 international, national, regional, and company collaboration projects. Deputy Director of the Almadén School of Engineering from 2004 to 2012. Director of the Almadén School of Mining and Industrial Engineering from 2012 to 2022. 2000-2005 and 2006-2011 evaluation periods favorably evaluated by the National Commission for Research Activity Evaluation. Secondary and vocational education professor from 1997 to 2000. Laboratory technician from 2000 to 2001. Associate Professor, Collaborating Professor, and Contracted Doctor Professor. ANECA accreditation as University Full Professor since 2015. Head of the research group “Technologies Applied to Design”. Head of the “Technology” section of the UCLM Applied Geology Institute. Network of collaborators in Morocco, Portugal, Brazil, Mexico, India, France, Greece, Turkey, and Germany. Member of the editorial committee of several international journals and of the scientific committee of conferences. Technical advisor and editorial writer for EDEBE. Training consultant. Issam Hanafi is a professor at National School of Applied Sciences - Al Huceima (ENSAH), Abdelmalek Essaâdi University, Morocco. He holds a Ph.D. in mechanical engineering from the University of Abdelmalek Essaâdi, Morocco. His main interest field is devoted to the development of novel machining processes for composite materials. His graduate degrees include a master’s degree in civil engineering from Faculty of Sciences and Techniques of Tangier, Morocco, and a Master of advanced studies (DESA) from Faculty of Sciences at Tétouan, Morocco. His present research interests are in the areas of quality engineering, intelligent control as it relates to neural networks and fuzzy control, also genetic algorithms in industrial applications.