Product Design and Development

Product Architecture and Strategy

Vehicle Upstream Definition and Engineering.
Vehicle Packaging Study For New and Existing
Feature List and Confirmation.
Definition of Master Section and Gap and Flush Targets.

Product Engineering Design and Development

Concept Development
Detailed Design
Product Variants
Design Validation / Support Tolerance Analysis
Assembly Validation
Value Engineering
Cost-Optimization Analysis
Reverse Engineering
DFX Manufacturability, Power, Variability, Cost, Yield or Reliability
DFMEA (Failure Mode Effect & Analysis)
Design Data Migration

CAD/ CAE / FEA / Simulation-Team & Capabilities

Ingstron’s CAD / CAE / FEA / Simulation teams work closely with its customers to test and validate, conduct packaging & feasibility studies to create solutions that meet stringent Safety requirements.

Multidisciplinary and Multilocation teams seamlessly work together to certify the various components. Homologating for the US market has been a proud achievement for the team.

CAD Resources:

Catia V6, V5

CAE Capabilities:

Linear Static Analysis
Non-Linear Static Analysis
Modal Analysis
Frequency Response Analysis

CAE Software:

Altair HyperWorks
MeshWorks
MSC Nastran

Expertise In:

BIW–Body structure
Closures–Doors, Hood, Trunk
Exterior–Windshield, Bumper, etc.
Trim-Interior & Exterior

We have the resources, expertise, processes, and data sets to engineer your needs. Contact us.

Product Virtual Validation

Virtual validation in the automotive industry refers to the process of evaluating and verifying the performance, safety, and functionality of vehicles or vehicle components using virtual simulation techniques. It is an essential part of the product development cycle and helps automotive manufacturers reduce costs and development time by minimizing physical prototyping and testing.

Virtual validation typically involves creating computer models or simulations of the vehicle or its subsystems, such as the engine, chassis, or electrical systems. These models can be based on mathematical equations, computational algorithms, or even real - world data collected through testing. By simulating the vehicle's behavior under different operating conditions, virtual validation allows engineers to assess its performance and identify any potential issues or areas for improvement.

Product Testing

Product Performance Target Setting
Virtual Analysis of Durability, NVH and Drivability
Confirmation of Regulatory Requirements

Product Localization

Region-Specific Regulatory Requirement Identification.
Supplier Identification and Tool Adaption.
Equivalent Material Definition
Process Adaption