Case Study / Automotive VAVE

Aluminum to Plastic Transition for Chassis Bracket

40% Weight Reduction & 22% Cost Saving

DETAILED VALIDATION

[ BUSINESS CONTEXT ]

A Tier-1 automotive supplier faced mounting pressure from their OEM customer to reduce the weight and manufacturing cost of a critical chassis mounting bracket used in high-volume production. Rising material costs threatened their margins on a multi-year contract.

[ PROJECT CHALLENGE ]

The original aluminum die-cast component had become a cost bottleneck, and traditional stamping alternatives failed to meet the required stiffness and NVH targets. The supplier needed to avoid expensive tooling changes and maintain compatibility with existing assembly line fixtures.

[ STRATEGIC SOLUTION ]

We initiated a simulation-driven VAVE study combining topology optimization with material substitution, targeting mass reduction while maintaining the original load paths and reinforcing high-stress areas with steel inserts.

PROJECT_PARAMETERS
PROJECT_SCALE4 MONTHS | 3 CAE VALIDATION ENGINEERS
ALTAIR_OPTISTRUCTACTIVE
AUTODESK_MOLDFLOWACTIVE
PA66-GF30ACTIVE
STEEL_INSERT_MOLDINGACTIVE

Engineering Methodology

PHASE_01

Topology Optimization

Used Altair OptiStruct to identify redundant material zones while maintaining stiffness targets of 15kN/mm.

PHASE_02

Material Characterization

Validated PA66-GF30 performance under extreme thermal cycles (-40°C to +120°C).

PHASE_03

MoldFlow Analysis

Simulated fiber orientation at critical rib junctions to prevent weak knit-lines.

PHASE_04

Hybrid Insert Integration

Designed custom steel threaded inserts with knurled surfaces for a 25kN pull-out strength.

Quantified Engineering Impact

40% (1.2kg → 720g)
Weight Reduction

Achieved through high-density ribbing and material substitution.

22% ($8.50 → $6.65)
Unit Cost Saving

Elimination of secondary machining processes required for die-casting.

Instant
Tooling ROI

Modified existing molds with insert-holders instead of investing $180k in new tools.

100% First-Pass
Validation Pass

Simulations matched physical test results with 98% correlation.