Using CNC for Mercedes Benz Logo Design
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Roland Kalonji, Mike Nkongolo
Roland Nathan Kalonji received a BSc in Computer Science from the Université Libre (ex UPL, DRC) in 2014. He earned a PG Dip (School of Mechanical,Industrial and Aeronautical Engineering -University of the Witwatersrand,RSA,Jhb) in 2017. His first endeavours in the engineering field were "Analysis and Optimization of a Biodiesel Production from Waste Cooking Oil, Ultrasonic Monitoring System for railway tracks "etc. He received his Masters degree in 2019 (Wits-School of Mechanical,Industrial and Aeronautical Engineering ); his research interests included systems engineering and the Network Intrusion Detection Problem (NIDP).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.
Bibliographische Angaben
- Autoren: Roland Kalonji , Mike Nkongolo
- 2017, 28 Seiten, 1 farbige Abbildungen, Masse: 21 cm, Kartoniert (TB), Englisch
- Verlag: GRIN Verlag
- ISBN-10: 3668575053
- ISBN-13: 9783668575059
Sprache:
Englisch
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