Here, you will set up a car model and perform a roof crash analysis using Hypermesh and solve the model using RADIOSS solver. The model is checked for intersections and penetrations. Errors are debugged and the model is simulated.
In this project, you will work on a frontal crash analysis of a reduced neon car model. You will do the following in this project,
Initial checks like intersections, penetrations in the model and add suitable mass to the model
Creation of rigid walls, proper contacts and assign overall velocity for the model
Creation of accelerometer, sections for determining section forces and providing springs to determine the intrusions for the model
Create suitable output blocks and the manipulation of engine cards.
Debugging errors and warnings
Visualizing the results in Hyperview and cross plotting the results in Hypergraph to determine the overall strength of the roof.
Here, you will setup a car model and perform a side crash analysis using hypermesh software and solve the model using RADIOSS solver. The model is checked for intersections and penetrations. Errors are debugged and the model is simulated.
Here, you will setup a reduced car model and perform a frontal crash analysis using hypermesh software and solve the model using RADIOSS solver. The model is checked for intersections and penetrations. Errors are debugged and the model is simulated.
You will learn
In this project, you will be setting up the case for roof crash analysis for a reduced neon car model. Here, you will import the model, do initial penetration checks. You will also import the impactor separately and position it in the desired location. Create proper contacts for the car model and contacts between the roof and car. After that, you will create collectors to fix the suspension points of the car, collectors for fixing the impactor in space, and assign proper boundary conditions for the impactor. The model is checked for any errors and warnings, if any present, those are debugged. To obtain all the results, output blocks are created for the said conditions, and the engine cards are manipulated to our requirements. The output is visualized using Hyperview and to determine the strength of the roof, cross plot is created in HyperGraph. The result from the HyperGraph is compared with the roof crash standards.
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Engineering students who are fresh out of college often struggle to meet the expectations of their employers. More often than not, this stems from a gap between the skills they learned in school and those that are required to make them competitive in the workplace. Skill-Lync, an edtech startup based out of Chennai, aims to bridge this gap.
Chennai-headquartered online learning startup Skill-Lync has launched a Masters course in Electric Vehicle Design and Simulation. The company says the new course is the first such curriculum in India, that focuses on electric vehicles. The fee of the EV course is around Rs 275,000, with the option of a full time or part-time duration. The startup provides job leading courses for Mechanical, Electrical and Civil Engineering students in India and across the world. With colleges shut and students looking to make the most of the time that they are at home the startup has fast-tracked the development of this program and releasing it amid Covid-19.
Skill-Lync started out as a YouTube channel to share engineering tips. Today, it is an online training course that caters to mostly non-software engineering students, which make up around 60 percent of the total engineers that graduate every year.
In an attempt to ensure that there is no hiatus in student education during the ongoing lockdown, Govt of India’s All India Council of Technical Education - NEAT announced partnership with Chennai based Edtech startup Skill-Lync. The global startup Skill-Lync is first-of-its-kind engineering technical education platform that provides job leading courses for Mechanical, Electrical and Civil Engineering students in India and across the world.