1. Mould CNC Machining Time Optimisation & Tool Path Verification
2. All assignments must be submitted by the date and time specified above.
3. Students are required to submit an electronic copy of their completed assignment via the Assignments section of Canvas and follow any specific instructions. Any change to this instruction will be advised via Canvas.
4. In case of illness or other issues affecting your studies please refer to the University Mitigating Circumstances policy. Guidance on mitigating circumstances can be found on MyKingston:
https://mykingston.kingston.ac.uk/myfaculty/sec/secstudentsupportMC/Pages/MitigatingCircumstances.aspx
5. Please note that if you submit a piece of work you have judged yourself fit to undertake the assessment and cannot claim mitigating circumstances retrospectively.
6. Guidance on avoiding academic assessment offences such as plagiarism and collusion can be found on MyKingston
The following module learning outcomes and professional body learning outcomes are tested in this assessment:
Develop an extensive knowledge in identifying the capabilities of the virtual multiaxis machining simulation and verification.
Each student will submit an individual report of no more than 10 pages including the front page, figures, tables and references. The report has to be compiled with the font size of Arial 11 point or Times New Roman 12 point and appropriate margins and 1 line spacing. Layout Format: Academic style. Reference Style Harvard. There is no maximum number of images and diagrams. Online submission through CANVAS and only PDF format is allowed. This section is worth 50% of the overall assessment for this module. Typical hours required by each student to complete this assignment is 25 hours.
Demonstrate a good knowledge and understanding of generative machining using NXCAM module to do the machining of the following part of the Air-Engine as shown below. Also you are required to do a detailed optimisation of the machining operations taking into account all machining elements which can affect the machining time. students are also required to re-design their parts if needed to reduce the manufacture cost (i.e. machining time) and also you are required to design and implement a modular fixture design and clamping techniques to be used for this part
To produce a machining setup which include tooling and all machining operations needed and test each operation of the above part using the NXCAM module of Siemens package and also each machining time operation should be optimised, the design of a flexible fixture and clamping technique to be recommended for the part. Student are required to develop a good knowledge and understanding on the whole manufacturing process in creating and editing CL-Data (Cutter location Data) to the post-processed data which is directly feed to
the CNC machine tool in form of a tape file (Machine code data - G & M code). In order to achieve that the students are required to go through the following steps:
i) Creating face milling and volume clearance operations ii) Creating simple and complex profile operations iii) Setting machining parameters for hole making operations iv) Machining time optimisation v) Create a CL data vi) Create a tape file using a 3 axis mill postprocessor (Machine Code Data-MCD)
References
M.P. Groover & E.W. Zimmers, CAD/CAM Computer-Aided Design and Manufacturing. NXCAM Tutorials Notes.
Assessment of your submission will be based on the following weighted assessment criteria as given below which relate to the specified module and PSRB learning outcomes. Assessment criteria are reproduced in Canvas in a rubric. |
|
Specific Criteria (marking scheme) |
Marks available |
Machine operations & tooling |
20% |
Machining tool path generation & optimisation |
35% |
Tool path post-processing |
25% |
Critical overall group discussion, conclusion & recommendations |
20% |
Total = 100% |
|
Academic skills support |
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For help and advice on this assessment please contact the assessment setter/s or the module leader. For advice on academic writing and referencing please contact the Faculty of Science, Engineering and Computing (SEC) Academic Success Centre (SASC). Trained staff and students will give you guidance and feedback on assessments. SASC can be contacted by email: [email protected] |