Design Optimisation Services
Simulation-led design optimisation for lighter, stronger and more efficient products
EngiSolveAI helps engineering teams improve product performance using analysis-driven optimisation methods that reduce unnecessary mass, improve stiffness, manage stress and accelerate design convergence.
Engineering design improvement
Optimisation that converts analysis findings into better product designs
Product verification confirms whether a design meets its requirements. Design optimisation identifies how the design can be improved while still meeting functional, structural, manufacturing and programme constraints.
EngiSolveAI supports optimisation programmes where teams need to reduce mass, improve stiffness, smooth stress concentrations, adjust natural frequencies, increase durability or compare design alternatives before committing to tooling, prototypes or production release.
Core optimisation capability
Optimisation methods matched to your product stage and engineering objective
EngiSolveAI applies optimisation approaches based on the maturity of the design, the available design freedom and the engineering decision that needs to be made.
Sizing optimisation
Optimise thicknesses, cross-sections, material gauges, reinforcement sizes and design parameters to meet strength, stiffness, mass and frequency targets.
Shape optimisation
Refine geometry, boundaries, fillets and local features to reduce stress concentrations, improve load transfer and control deformation.
Topology optimisation
Identify efficient material layouts and primary load paths during concept development, helping teams create lightweight structural concepts.
Topography optimisation
Optimise bead patterns and surface features for sheet metal and thin-walled parts to improve stiffness, vibration behaviour and local performance.
Parametric and sensitivity studies
Evaluate design variables to identify the parameters that most strongly influence performance, risk, mass, stiffness or fatigue response.
Multi-objective optimisation
Balance competing targets such as mass, stress, displacement, frequency, fatigue life, cost and manufacturability in a structured optimisation workflow.
Optimisation objectives
Improve the engineering metrics that matter to your product and programme
Optimisation studies are most valuable when the objectives are measurable, the constraints are realistic and the results can be implemented in the product design.
Reduce unnecessary mass
Identify opportunities to remove material while maintaining required strength, stiffness, safety margins and service performance.
Improve stiffness and deflection control
Refine geometry and material distribution to improve load-path efficiency, deformation control and structural response.
Lower stress concentrations
Smooth local load transitions, improve critical details and reduce high-stress regions that can drive failure or fatigue issues.
Modify frequency response
Adjust natural frequencies and dynamic behaviour to reduce resonance risk and improve vibration-sensitive product performance.
Increase durability
Improve fatigue performance by reducing stress ranges, refining geometry and addressing locations exposed to repeated loading.
Support manufacturable outcomes
Translate optimised concepts into practical design changes that respect production methods, packaging, cost and assembly constraints.
Enterprise engineering value
Use optimisation to reduce development risk and improve product competitiveness
Optimisation helps engineering teams move from an acceptable design to a stronger design direction. EngiSolveAI uses simulation results to guide material placement, geometry refinement and trade-off decisions in a practical, review-ready way.
How optimisation supports engineering teams
- Reduce structure weight and material cost without compromising key requirements
- Improve stiffness, durability, stress margins and vibration behaviour
- Evaluate more design alternatives in less development time
- Support concept selection before detailed CAD and prototype investment
- Create clear evidence for design reviews and programme decision gates
Applications
Optimisation support across components, assemblies and product families
EngiSolveAI supports optimisation work across aerospace, automotive, oil and gas, agriculture, industrial machinery and specialist mechanical products.
Structural components
Optimisation of brackets, frames, housings, supports, panels, mounts, linkages and load-bearing parts.
Sheet metal parts
Topography optimisation for bead placement, stiffness improvement, vibration tuning and mass-efficient sheet metal design.
Lightweight assemblies
Material reduction and load-path refinement for assemblies where mass, stiffness and durability targets must be balanced.
Design variants
Parametric comparison of product variants, thickness options, reinforcement strategies and manufacturing alternatives.
Redesign and issue resolution
Simulation-led redesign for products with excessive stress, weight, deflection, vibration or fatigue risk.
Production-intent refinement
Practical optimisation of mature designs where changes must remain compatible with packaging, assembly and manufacturing constraints.
Industry coverage
Optimisation capability for high-value engineering sectors
EngiSolveAI helps teams improve products in sectors where structural performance, reliability, weight and cost must be balanced carefully.
Connected services
Optimisation connected with modelling, analysis, automation and validation
Design optimisation is most effective when it is connected to accurate modelling, credible simulation and practical engineering review. EngiSolveAI can support the full workflow.
Simulation platforms
Optimisation workflows integrated with established CAE environments
EngiSolveAI supports optimisation studies using commercial solver workflows and client-approved processes for structural simulation and design improvement.
Ansys
Structural, thermal, modal and parametric analysis workflows for design improvement studies.
Abaqus
Non-linear analysis, contact-rich models and complex structural behaviour for optimisation-led redesign.
HyperWorks and OptiStruct
Topology, topography, sizing and structural optimisation workflows for components and assemblies.
LS-DYNA and approved CAE processes
Support for crash, impact, explicit dynamics and client-specific optimisation or verification workflows.
Optimisation workflow
A disciplined process from baseline performance to improved design direction
Define objectives and constraints
Clarify load cases, performance targets, design variables, manufacturing limits, acceptance criteria and practical constraints.
Build the baseline model
Prepare or review the FE model, establish current performance and identify limiting regions or key design drivers.
Run optimisation studies
Evaluate sizing, shape, topology, topography or parametric options using the agreed objectives and constraints.
Interpret and refine
Translate optimisation outputs into practical design recommendations, refined concepts and next-step engineering actions.
Engineering deliverables
Clear outputs for design teams, reviewers and programme stakeholders
Optimisation results are prepared so teams can understand what changed, why it changed and how the findings can be converted into practical product updates.
Baseline assessment
Initial analysis results showing current design performance, limiting factors and opportunities for improvement.
Optimisation results
Documented optimisation outputs, design variable behaviour, performance improvements and trade-off observations.
Design recommendations
Practical guidance to convert optimisation results into manufacturable design changes and engineering actions.
Review support
Technical support for optimisation reviews, result walkthroughs, supplier discussions and decision-gate meetings.
Why EngiSolveAI
Specialist optimisation expertise for demanding engineering programmes
EngiSolveAI combines finite element analysis, optimisation methods and practical engineering judgement to help clients develop products that are not only compliant, but more efficient, robust and competitive.
Analysis-led recommendations
Optimisation studies are grounded in simulation evidence and translated into clear engineering actions.
Flexible engagement model
Engage EngiSolveAI for focused optimisation tasks, concept studies, redesign work or complete optimisation work packages.
Enterprise-ready reporting
Outputs are structured for design reviews, supplier discussions, internal governance and programme decision-making.
Start a technical discussion
Need to reduce weight, improve stiffness or optimise product performance?
Share your design challenge with EngiSolveAI. We can help define the right optimisation approach, evaluate performance trade-offs and provide practical recommendations for improved product design.