Advances in Sustainable Machining and Manufacturing Processes

Sustainable machining is an important topic that covers various techniques and methods to reduce environmental impact and improve efficiency in manufacturing. This text provides an in-depth overview of sustainability in machining processes, challenges during machining of difficult-to-cut materials, and different ways of green machining in achieving sustainability. It discusses important topics such as green and sustainable machining, dry machining, textured cutting coated tools for machining, solid lubricants-based machining, gas-cooled machining, cryogenic cooling for intelligent machining, artificial neural network for machining, big data-based machining, and hybrid intelligent machining. The book covers advances in sustainable machining such as gas-cooled machining, near-dry machining, and minimum quantity lubrication. It also explores the use of big data, machine learning, and artificial intelligence for machining processes. The text provides case studies and experimental design as well as results with analysis focusing on achieving sustainability. It is primarily written for senior undergraduate, graduate students, and researchers in the fields of mechanical, manufacturing, industrial, production engineering, and materials science.

Format: Hardback
Length: 306 pages
Publication date: 19 May 2022
Publisher: Taylor & Francis Ltd

Sustainability in machining processes is a crucial topic that requires attention to reduce environmental impact and improve efficiency. Challenges during machining of difficult-to-cut materials, such as high-temperature alloys, ceramics, and composites, require innovative approaches to achieve sustainable outcomes. Green machining, also known as sustainable machining, is a set of practices that aim to minimize waste, energy consumption, and emissions while improving surface quality and productivity.

One of the key techniques in green machining is dry machining, which involves removing material without the use of coolant or lubricants. This method reduces waste generation and coolant consumption, which can have a significant environmental impact. Textured cutting coated tools, such as diamond and CBN tools, are also used to improve surface quality and reduce machining time. Solid lubricants-based machining, such as graphite and molybdenum disulfide, can reduce friction and wear, thereby improving tool life and reducing energy consumption.

Gas-cooled machining is another innovative approach that reduces heat generation and improves surface quality. In this method, a gas, such as air or nitrogen, is used to cool the cutting tool and the workpiece. This reduces the need for coolant and reduces the heat transfer to the environment, thereby reducing energy consumption and emissions. Cryogenic cooling for intelligent machining is another technique that uses low temperatures to improve material properties and reduce machining time. This method can be used for machining difficult-to-cut materials, such as superalloys and ceramics.

Artificial neural network for machining is a new approach that uses machine learning and artificial intelligence to optimize machining processes. This method can analyze data from past machining operations and predict the optimal cutting parameters for future operations. Big data-based machining is another technique that uses large amounts of data to improve machining processes. This method can analyze data from sensors, machine tools, and other sources to identify patterns and optimize machining processes.

Hybrid intelligent machining is a combination of traditional machining techniques and advanced technologies, such as artificial intelligence and machine learning. This method can optimize machining processes by combining the strengths of different technologies and reducing the environmental impact.

Sustainable machining is not only important for environmental reasons, but also for economic reasons. By reducing waste, energy consumption, and emissions, sustainable machining can improve efficiency and reduce costs. Additionally, sustainable machining can improve product quality and customer satisfaction, which can lead to increased sales and profitability.

In conclusion, sustainability in machining processes is a critical topic that requires attention to reduce environmental impact and improve efficiency. Green machining, dry machining, textured cutting coated tools, solid lubricants-based machining, gas-cooled machining, cryogenic cooling for intelligent machining, artificial neural network for machining, big data-based machining, and hybrid intelligent machining are all innovative approaches that can be used to achieve sustainable outcomes. By implementing these techniques, manufacturers can improve their competitiveness and contribute to a sustainable future.

Weight: 630g
Dimension: 160 x 242 x 25 (mm)
ISBN-13: 9781032081656