Mechanical Systems Reliability, MP3701 Value This assignment constitutes 40% of the grade for this module. Submission Date and Time: Tuesday, April 3rd , 2011, 4pm. Submission Rules Your assignment must be submitted electronically via eLearn (Assignments tab) by the submission time, and a paper version should be submitted to the CEPS office by the same time. All materials should be contained in a Word document. No other means of submission will be accepted. Any references to materials should be given in standard Harvard form. The assignment should be your own work and written in your own words. Any plagiarism or copying from others will be dealt with through the university’s plagiarism procedures. 10% of students will be chosen for an oral examination to assess if the work submitted is their own work.
2. Analyse and predict the statistical behaviour of machine failures. Mechanical Systems Reliability – Assignment 2010/11 Widgets plc is an engineering company that manufactures domestic washing machines. You are a consultant that has been asked to review the effectiveness of Widgets’ ability to test its washing machines. The Director of Engineering has asked you to examine a test report (attached) from the company’s Test Department; and provide her with a critical review of the procedures and analysis that were undertaken, and the conclusion that was made. Provide a report for the Director that contains: 1. A description of the approach that was taken to evaluate the reliability of the machines. The whole report should be no more than 3,000 words plus any diagrams, charts etc. You should submit a paper copy and also an electronic version. It will be checked against Turnitin for plagiarism. Test report Subject: The new design of washing machine. The failure data for 20 of the new design of washing machines is presented below, where the time to failure of each machine has been scaled up to estimate the actual life. Thus, for example, machine 3 actually lasted for 28 days, but because of the duty cycle employed, we can say that this represents 200 months of life in a typical household. Machine Months to failure Machine Months to failure
Analysis If we offer a 5-year guarantee on the machines, http://www.ukassignment.org/dxassignment/ then the graph shows that 25% of machines will fail by 5 years – an average of 5% per year. This is better than our existing machines, so we will be able to make a profit even allowing for the warranty repair costs. Conclusion
|