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《Generative Design for Automotive Energy Absorbing Structures》
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Generative Design for Automotive Energy Absorbing Structures
30 Chapters
View Course Samples Online
01
Generative design for automotive energy absorbers
scope, crashworthiness objectives, and the product development workflow.
Generative
automotive
02
Crash energy management fundamentals
kinetic energy, deformation modes, and occupant protection targets for front, side, and rear impact.
management
deformation
03
Energy absorbing structure taxonomy
crash boxes, rails, bumpers, rockers, battery enclosures, and their load cases.
absorbing
structure
04
Material selection for energy absorption
high-strength steel, aluminum alloys, composites, and hybrid multi-material stacks.
Material
selection
05
Design requirements and constraints
packaging envelopes, mounting interfaces, manufacturing limits, and regulatory crash tests.
requirements
constraints
06
Introduction to generative design
topology optimization, lattice generation, and multi-objective synthesis for crash components.
generative
topology
07
CAD preparation for generative studies
design space extraction, keep-out zones, symmetry, and load path definition.
CAD
preparation
08
Load case definition for crash simulation
explicit dynamics setup, initial velocity, rigid wall, and self-contact.
definition
simulation
09
Material modeling for crash
elastoplasticity, strain rate sensitivity, damage initiation, and failure criteria.
Material
modeling
10
Topology optimization for energy absorption
objective functions, mass constraints, and pseudo-density methods.
Topology
optimization
11
Lattice and cellular structure generation
unit cell selection, relative density grading, and additive manufacturing feasibility.
cellular
structure
12
Multi-objective optimization
trade-offs between peak force, specific energy absorption, and mass.
Multi-objective
optimization
13
Surrogate modeling and design of experiments for crashworthiness
response surface, Kriging, and neural network metamodels.
Surrogate
modeling
14
Optimization algorithms for generative design
genetic algorithms, particle swarm, and gradient-based methods.
Optimization
algorithms
15
Integrating generative design with explicit finite element solvers
LS-DYNA, Radioss, and Abaqus/Explicit workflows.
Integrating
generative
16
Case study
generative design of a front crash box for a battery electric vehicle.
generative
electric
17
Case study
generative design of an aluminum side impact beam with lattice infill.
generative
aluminum
18
Case study
generative design of a composite energy absorber for a motorsport application.
generative
composite
19
Case study
generative design of a multi-material rocker panel for side pole impact.
generative
multi-material
20
Case study
generative design of a battery enclosure lower guard against ground impact.
generative
enclosure
21
Post-processing and interpretation
force-displacement curves, deformation patterns, and energy absorption metrics.
Post-processing
interpretation
22
Validation and verification
mesh convergence, experimental correlation, and physical testing of generatively designed parts.
Validation
verification
23
Manufacturing considerations
additive manufacturing, casting, stamping, and joining for generative geometries.
Manufacturing
considerations
24
Design for additive manufacturing
support structures, anisotropy, residual stress, and surface finish.
additive
manufacturing
25
Cost and production feasibility
material cost, cycle time, tooling, and scalability for automotive volumes.
production
feasibility
26
Integration into vehicle architecture
interface design, load transfer, and system-level crash performance.
Integration
architecture
27
Data-driven generative design
machine learning for crash performance prediction and design space exploration.
Data-driven
generative
28
Generative design for multi-physics
coupled structural, thermal, and electromagnetic requirements in energy absorbers.
Generative
multi-physics
29
Sustainability and lightweighting
life cycle assessment, recyclability, and circular economy for energy absorbing structures.
Sustainability
lightweighting
30
Capstone project
end-to-end generative design, simulation, and validation of an automotive energy absorbing structure.
Capstone
end-to-end
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