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Beginner's Guide to Cnc Machining for Wood and Metal: Understanding the Machines, Tools and Software, Plus Projects to Make - Softcover

Thompson, Steven

 
9781497100589: Beginner's Guide to Cnc Machining for Wood and Metal: Understanding the Machines, Tools and Software, Plus Projects to Make

Inhaltsangabe

A tool to empower and educate a new generation of inventors, creators, designers, and fabricators! This comprehensive resource is an accessible, beginner-friendly guide for anyone interested in understanding CNC (Computer Numerical Control) woodworking and the future of these technologies. From the fundamentals of CNC to its machinery, software, tools, materials, and 2-1/2 D carving, Beginner’s Guide to CNC Machining for Wood will teach you everything you need to know about your CNC router in a way that’s clear, approachable, and easy to comprehend. Also included are step-by-step CNC projects that will allow you to practice various techniques in digital wood joinery and CNC machining. The general principles and instructions detailed are applicable to a wide range of software and CNC machine brands, making this must-have resource a comprehensive and inclusive guide that any woodworker can use! With clear instructions, diagrams, illustrations, software screenshots, and high-quality photography provided throughout, you’ll be inspired and equipped with a strong foundation of knowledge to continue along the path of this innovative method of woodworking.

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Über die Autorin bzw. den Autor

Steve Thompson grew up in rural Southern California, working in fabrication shops since he was eight. He studied physics and philosophy at UC Irvine, then lived on an educational farm for six years designing and fabricating small dwellings. Steve teaches Rapid Prototyping and Manufacturing Systems at San Francisco State University, and works at the Exploratorium at the San Francisco Science Museum, where he helped build the new Tactile Dome. He is based in Berkeley, California where he also helps run a small art residency non-profit called Stochastic Labs.

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