--- What we do?---
1/ Finite Element Analysis (FEA):
2/ Computational Fluid Dynamics (CFD):
3/ Consulting Services:
---Why choose us?---
Our qualified services are the result of years of scientific study and international working experiences. The owner and experienced engineer, Tri Tien (Tri is pronounced as Tree), has more than 10 years in simulation and manufacturing industries, both in Australia and overseas. Before starting CAEbay, Tri had previously performed various roles as technical engineer, production & development engineer, and engineering head for many companies covering a range of industries including mechanical simulation, composite manufacturing, wood machining and fitness equipment manufacturing.
Tri holds a Bachelor of Automotive and Engine Engineering from Ho Chi Minh City University of Technology, a Masters of Science from Konkuk University South Korea, and a PhD in Computational Engineering from University of Southern Queensland. Tri has published more than 15 peer-reviewed international journal articles and conference papers in the area of computational engineering.
"CAE only delivers meaningful results if the engineer driving the computer fully understands the theory behind the simulation."
--- What clients say? --- “It became clear that Tri has an unusual ability to computer model both physical objects and processes involving thermodynamics, movements of fluids and combinations of these.” Director Cliff Walker, Vacmobiles.com ltd., New Zealand.
“We encountered some serious failure problems that halted our sales. Tri quickly identified the cause of the failures and invented a fail-safe substitution that allowed us to resume sales.” Thomas R. Anthony Ph.D, NAE., America.
“With a very tenacious and robust problem solving ability, Tri was able to apply a deep technical knowledge into an array of projects to improve both existing systems along with the research into new areas of possible business.” David Pring, Managing Director, Timber and Laminate Services Pty Ltd., Australia.
For more information, please visit www.caebay.com
As confirmed by experimental results obtained from published literature, our FEM simulations accurately predict chip form and allow the effects of parameters influencing chip formation to be studied. Given the material properties of the workpiece, adjusting the cutting conditions in the simulation (e.g. depth of cut, cutting speed, and tool rake angle) enables prediction of the resultant chip form. It is therefore possible to predetermine the cutting parameters required to produce the serrated chip form preferred for automated machining. In our simulations, the Johnson-Cook model is used in combination with the Johnson-Cook damage initiation model as well as the Hillerborge damage evolution criteria. These FEM simulation methods may also be used for cost effectively investigating other damage situations such as impact test, car crash, torsional crush, and armor-bullet impact.
In addition to the physical characteristics of chip formation and similar damage processes, parameters such as stress, strain, strain rate and temperature rise, can be determined by finite element simulation. Especially with processes taking place within very short or very long time intervals, such parameters may be difficult, impractical or expensive to measure experimentally.
When detailed information about a physical process is required, but is difficult or expensive to obtain from actual testing, the feasibility of simulating the process using the finite element method should be considered.
As shown in the analyses, both pedal axle and body are unsafe for use and their fatigue life is too short. The following improvements are suggested: • For the axle, the flange needs to be thickened and the axle diameter (after the hex) needs to be increased. • For the pedal body, the connecting arms should be strengthened. This could be achieved by increasing their diameter and by providing a more gradual transition between the arm and the body. • Incorporate radius fillets wherever a sharp shape transition intensifies the stress. Through this real life* example, we can see how SF and fatigue life computations can be used to identify weak points and thus improve designs. A similar approach can be applied to more complicated applications and designs.
Press play to watch to Structural analyses on bicycle pedal.wmv
Press play to watch to Chip Formation Processes.wmv
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