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Technical Paper

Fatigue Life Prediction of HVAC Pipe Assembly for Measured Powertrain Load by Virtual Simulation

2020-04-14
2020-01-0188
Structural durability of automotive components is one of the key requirements in design and development of today’s automobiles. Virtual simulations are used to estimate component durability to save the cost and time required to build the components and testing. The objective of this work is to find the service life of automotive HVAC pipe assembly by calculating cumulative fatigue life for operation under actual powertrain load conditions. Modal transient response analysis is performed with the measured powertrain load time history. Strain based fatigue life analysis is carried out using modal superposition method (MSM). The estimated fatigue life was compared with the physical test results. This paper also explains the root cause of low fatigue life on pipe assembly and provide the solution.
Technical Paper

Effect of Casting Process on Strength Behaviour of Automotive Alloy Wheel

2021-04-06
2021-01-0800
Strength and fatigue assessment of chassis components are essentially influenced by the material used and manufacturing processes chosen. The manufacturing process of chassis components decides the variation in the mechanical properties of the component, which has an impact on the strength/fatigue performance. Investigating the design concerning the manufacturing processes is vital to the industry. Standard computer aided engineering (CAE) procedures for validating the alloy wheels usually consider the material properties as homogeneous. There was a gap between test results and CAE durability prediction (as per standard procedure). Incorporating the manufacturing process related characteristics with the strength simulation will be a viable solution to reduce this gap. This study was intended at developing a procedure for the strength analysis of an alloy wheel by considering the manufacturing process.
Technical Paper

Dynamic Transient Simulation to Predict Durability Loads from Road Load Profile under Linear Assumptions

2021-04-06
2021-01-0831
Structural durability of the vehicle components is one of the key factors in design and development. This helps in understanding the capability of structures or components to withstand the loads encountered in service over a specified period of use. Durability assessment for vehicle structures requires load inputs. These load inputs can be in form of force, acceleration and displacement and typically generated from road load profiles in the testing lab or by the load groups. But if a program is in its early stage when design data is immature or lab facility is limited then acquiring these load inputs takes time and sometimes not feasible also. In this scenario, we can predict the durability load inputs from road load profiles virtually using dynamic transient simulation. The objective of this work is to predict the durability input signals from road profiles using finite element model by modal transient approach.
Technical Paper

Application of DFSS Taguchi Method to Design Robust Shock Tower

2021-04-06
2021-01-0234
Design for Six Sigma (DFSS) is an essential tool and methodology for innovation projects to improve the product design/process and performance. This paper aims to present an application of the DFSS Taguchi Method for an automotive/vehicle component. High-Pressure Vacuum Assist Die Casting (HPVADC) technology is used to make Cast Aluminum Front Shock Tower. During the vehicle life, Shock Tower transfers the road high impact loads from the shock absorber to the body structure. Proving Ground (PG) and washout loads are often used to assess part strength, durability life and robustness. The initial design was not meeting the strength requirement for abusive washout loads. The project identified eight parameters (control factors) to study and to optimize the initial design. Simulation results confirmed that all eight selected control factors affect the part design and could be used to improve the Shock Tower's strength and performance.
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