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Using CNC for Mercedes Benz Logo Design

by Mike Nkongolo
Save 14% Save 14%
Current price ₹2,140.00
Original price ₹2,499.00
Original price ₹2,499.00
Original price ₹2,499.00
(-14%)
₹2,140.00
Current price ₹2,140.00

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Book cover type: Paperback
  • ISBN13: 9783668575059
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Grin Verlag
  • Publisher Imprint: Grin Verlag
  • Publication Date:
  • Pages: 30
  • Original Price: USD 25.5
  • Language: English
  • Edition: N/A
  • Item Weight: 50 grams
  • BISAC Subject(s): Industrial

Project Report from the year 2017 in the subject Computer Science - Programming, language: English, abstract: This report covers the work that was carried out by a group of researchers on CNC (Computer Numerical Control) programming and machining. The task was to choose and design a creative item to be machined using CNC machining, which then required to write a code using CNC language. Prior to the machining process, we did a Computer Aided Design (CAD) drawing of the Mercedes Benz logo. The logo was further modified with the final model drawn using Auto Desk Inventor. We used foam for our model and a 10 diameter end mill tool. The main problem that was experienced was the cutting time; the model took longer to be complete. The cutting time was affected by the complexity of the design, chosen tool size and the cutting technique. We learnt from the demonstration that the shorter the constructed code the more robust it is, using a bigger tool is more efficient in terms of saving energy and time, and that if the code is correct the CNC machine model becomes identical to that of the product Design.

Mike Nkongolo received the BSc (Hons) degree in computer science from the University of the Witwatersrand, Johannesburg, South Africa, in 2016. He is currently working toward the Masters degree in the School of Computer Science and Applied Mathematics, University of the Witwatersrand. His research interests include the theory and applications of Intelligent Systems, Web-based platforms and Machine Learning, Sentiment detection in Web Mining, and Artificial Intelligence-Natural Languages Processing.

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