COMPUTER AIDED ENGINEERING (ANSYS)
EMS5CAE
Not currently offered
Credit points: 15
Subject outline
In this subject, fundamental knowledge of basic concepts such as data structures,and computational complexity will be illustrated in a manner that enables students to develop a comprehensive understanding of how to integrate different tools in a real business environment. Topics covered include common software platforms available to perform the engineering design, modelling, manufacturing and control. Principles of modelling and analysing, such as FEA (Finite ElementAnalysis); CFD (Computational Fluid Dynamics) based on ANSYS will also bebriefly introduced. Upon successful completion of this subject, students will have developed a range of skills which will allow them to comprehend and effectively design engineering systems, using modern CAE tools, in a real-world industrial setting.
SchoolSchool Engineering&Mathematical Sciences
Credit points15
Subject Co-ordinatorRobert Ross
Available to Study Abroad StudentsNo
Subject year levelYear Level 5 - Masters
Exchange StudentsNo
Subject particulars
Subject rules
Prerequisites Students must be admitted in one of the following courses: SMENC, SMENCB, SMENE, SMENEB, SMENM or SMENMB
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Special conditionsN/A
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Fundamentals of Computer-Aided Engineering | Prescribed | Benny Raphael, 2003 | Wiley |
| Readings | Computer Aided Engineering Design | Prescribed | Anupam Saxena, Birendra Sahay, 2005 | Springer |
Graduate capabilities & intended learning outcomes
01. Demonstrate understanding of the soft wares which are applied in engineering practices, including AutoCAD, CAM, FEA, and CFD.
- Activities:
- In the first two weeks, the fundamentals of CAE will be introduced, the students will gain general understanding of different software packages applied in CAE, the key features of MATLAB and ANSYS will be overviewed and the data structure and communications between different packages will be briefed.
02. Demonstrate understanding of the assumptions of and outputs generated by analytical soft ware
- Activities:
- The principles FEA will be illustrated and the assumptions and limitations of analytical software packages will be explained, some typical works based on different platforms will be introduced during the workshop session. The students will have some practical sense regarding the key features, functions and outcomes of some specific software, and appreciate the capability of a mix of tools.
03. Integrate a range of tools to complete specific tasks requiring Computer Aided Engineering.
- Activities:
- From week two, students will be given an industrial problem which needs to be solved with CAE tools, they will also be organized into small groups to address a complicated problem. The tools introduced in the following sessions can be applied gradually to help them complete their individual project and group project. They need to investigate the industrial context and gain an insight of the customer requirement, select a mix of appropriate tools to complete the task.
04. Communicate effectively, in both written and verbal modes, with experts in relevant sectors in relation to specific technical details, including a virtual reality environment.
- Activities:
- It is highly possible that the students need advice from specific experts in some unfamiliar sectors, they should practice how to explain their technical issue to an expert and appreciate the insights from outside. The skills to create a product or parts of a product in a virtual reality environment should be enhanced and able to make modifications according to analytical results. Sometimes, compromises have to be made, however they should be able to defend their decisions based on scientific principles or other factors.
05. Work together as a team and present ideas in a professional manner.
- Activities:
- The group project work and its progress will be supported and monitored by the teaching staff. Scientific knowledge and cooperative personal attributes will be required to achieve an excellent final report and successful presentation. During the presentation, the students will be questioned not only by the teaching staff but their classmates as well. It is also a good opportunity for them to learn from each other.
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