EMUG Completed 25 Years of Engineering Excellence in Mechanical Services
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About Us

A trusted engineering partner helping global OEMs and manufacturers accelerate product development through specialized design, engineering and digital engineering solutions.

Automotive & Mobility
Aerospace & Defense
Industrial & Heavy Engineering
Manufacturing & Smart Factory
Aerospace Manufacturing & MRO
Rail, Transportation & Infrastructure
Consumer Products & Appliances
Hi-Tech, Electronics & Semiconductors
Energy & Sustainability
Emerging & Future Industries

Engineering Resource Augmentation

Scale your engineering capacity instantly with pre-qualified domain experts. EMUG provides dedicated engineers and scalable teams that integrate seamlessly into your product development programs.

Domain-Experts

Industry-specialized engineering talent

Seamless Integration

Works within your engineering workflows

Global Delivery

Support for worldwide engineering programs

CAE Automation & Data Integrity Tools

Automate FEA pre-processing, mesh quality enforcement, HPC batch submission, post-processing, and simulation report generation — while connecting simulation models and results to their originating CAD geometry revision for complete data integrity using the EMUG SOLVE Framework.

CAE Automation & Data Integrity for Engineering Organisations

CAE Automation & Data Integrity Tools for Engineering Organisations

CAE automation and data integrity tools eliminate the repetitive manual effort that consumes simulation engineering time — model setup, mesh quality checking, HPC job submission, results extraction, and report preparation — while establishing the data governance that makes simulation results traceable to the specific CAD geometry revision they were computed from. EMUG Tech delivers CAE automation for automotive, aerospace, industrial, and energy engineering organisations across 20 countries using the EMUG SOLVE Framework — building in PyANSYS, Abaqus Python, HyperMesh Tcl, and Nastran DMAP.

Simulation engineers in most manufacturing organisations spend 30 to 50 percent of their time on tasks that should not require a senior FEA engineer: importing geometry, assigning materials from memory, setting up the same boundary condition templates, submitting jobs one at a time, extracting the same results quantities from every model, and copying plots into the same report template. EMUG SOLVE automation tools eliminate these tasks — freeing simulation engineers to run more design studies, interpret results more deeply, and advise on design decisions rather than managing simulation model preparation.

CORE CAPABILITIES

EMUG Tech's CAE automation capability spans seven specialised service areas — from FEA pre-processing and mesh quality enforcement through HPC batch management, post-processing automation, CAE data integrity, PLM integration, and automated report generation — covering ANSYS, Abaqus, Simcenter Nastran, HyperMesh, and LS-DYNA.

FEA Pre-Processing Automation

Automated FEA model setup eliminating manual steps — geometry import from CAD (STEP, Parasolid, direct NX/Creo connection), material assignment from engineering materials database, boundary condition application from standard templates, load case configuration, and solver parameter setup. Built in PyANSYS (ANSYS Mechanical), Abaqus Python, HyperMesh Tcl/Python. 50–70% pre-processing time reduction.
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Mesh Quality Enforcement Tools

Automated mesh quality checking before every solve — element quality metrics (Jacobian ratio, aspect ratio, warpage, skewness, minimum angle) validated against solver-specific thresholds for ANSYS, Abaqus, and Nastran. Quality report identifying failing elements with location and severity. Batch mesh correction scripts for standard geometry families. HyperMesh, ANSA, and ANSYS Meshing scripting interfaces.
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HPC Batch Submission and Job Management

End-to-end HPC automation connecting CAE pre-processing to solver submission — automated job packaging, resource request configuration by simulation type (cores, memory, wall time), submission to LSF, PBS Pro, SLURM, or SGE schedulers, job status monitoring with completion notification, and failed job classification with automatic retry or escalation logic. Solver queue utilisation improvement 20–35%.
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Post-Processing and Results Extraction

Automated simulation results processing from solved models — standard contour plot generation to corporate template (stress, strain, displacement, temperature, pressure), scalar result extraction (maximum values, location, load case comparison), natural frequency and mode shape extraction, and results database population. Built in ANSYS CFD-Post Python, Abaqus Viewer Python, HyperView Tcl, and Simcenter Post. 60–80% effort reduction.
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CAE Data Integrity and Version Control

Simulation data governance tools ensuring every CAE model and result is traceable to its originating CAD geometry revision — PLM item revision identifier stored in CAE model metadata, simulation results archived with CAD revision reference, model change tracking detecting geometry updates requiring simulation re-run, and simulation database governance covering naming, versioning, and access control.
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CAE-PLM Integration

Connecting simulation workflows to PLM systems — reading simulation specifications from Teamcenter, Windchill, or 3DEXPERIENCE simulation objects, saving CAE models and results to PLM linked to the originating design revision, triggering PLM simulation review workflows on results availability, and building simulation maturity tracking dashboards from PLM simulation data across active programmes.
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CAE Report Generation Automation

Automated simulation report generation from results databases — corporate report templates (python-docx, ReportLab, Jinja2) populated automatically with result plots, scalar data tables, model description, and pass/fail assessment against design criteria. Multi-load-case comparison reports. Regulatory submission report packs for AS9100 design verification and IATF 16949 validation evidence. 70–85% report preparation time reduction.
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KEY METRICS

Average Reduction in CAE Pre and Post-Processing Time After EMUG SOLVE Tool Deployment
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CAE Automation Tools and Data Integrity Frameworks Delivered Across ANSYS Abaqus and Nastran
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Countries Where EMUG Tech Delivers CAE Automation and Data Integrity Programmes
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The EMUG SOLVE Framework — Our CAE Automation & Data Integrity Delivery Methodology

EMUG designs and delivers all CAE automation and data integrity programmes using the EMUG SOLVE Framework — five phases covering Survey, Outline, Launch, Validate, and Enable. SOLVE builds automation from observed simulation workflows on real industrial models, tests against production-representative geometry before go-live, and delivers measurable effort reduction benchmarked against the pre-automation time baseline.
1

SURVEY

CAE workflow mapping and automation requirements capture — observing simulation engineers in their daily FEA, CFD, and multi-body dynamics workflows to document step-by-step pre-processing sequences, meshing procedures, solver submission steps, post-processing operations, and report preparation tasks. Effort quantification per task: time per simulation model, frequency per week, and error rate. Identifying data integrity risks: where CAE model versions disconnect from CAD geometry revisions, and where simulation results are stored without traceability to the originating CAD revision. Deliverable: CAE Workflow Analysis Report with Automation Candidate Register, Effort Baseline, and Data Integrity Risk Map.
2

OUTLINE

Automation design and tool architecture — defining the scripting and API approach for each automation candidate: ANSYS ACT extensions and PyANSYS for ANSYS Mechanical and Fluent automation; Abaqus Python scripting API for pre/post-processing; Simcenter Nastran DMAP and Python for Nastran automation; HyperMesh Tcl/Python API for meshing automation; and LS-DYNA keyword processing tools. Data integrity framework design: CAE-CAD linkage strategy, version control approach, and PLM integration specification. Deliverable: CAE Tool Design Specification and Data Integrity Framework Architecture.
3

LAUNCH

Tool development and unit testing — building CAE automation scripts, applications, and data integrity tools to specification. Scripting in Python (PyANSYS, Abaqus Python, HyperMesh Python), Tcl (HyperMesh, Nastran), and DMAP (Nastran). Batch job management framework development. CAE-to-PLM data linkage build. Post-processing results extraction and report generation tool development. Unit testing on representative simulation models covering standard cases and edge conditions. Deliverable: Developed CAE Automation Tools with Unit Test Results and Technical Documentation.
4

VALIDATE

Integration testing and user acceptance testing — running developed tools against production-representative simulation models in the target CAE environment, validating output accuracy against manually produced results, verifying PLM integration and data linkage correctness, performance benchmarking against the pre-processing and post-processing time baselines from the Survey phase. User acceptance testing with simulation engineering leads. Deliverable: Integration-Tested CAE Tools with UAT Sign-Off and Performance Benchmark Report.
5

ENABLE

Production deployment and simulation team adoption — deploying validated tools to simulation engineering workstations and HPC cluster environments, delivering role-specific training covering tool usage, input requirements, data integrity workflow, and feedback reporting. Creating simulation team user guides with worked examples on representative model types. Monitoring tool adoption and usage frequency in the first 30 days. Collecting feedback for enhancement prioritisation and next-wave automation planning. Deliverable: Production-Deployed CAE Tools with Training Record, User Guide, and 30-Day Adoption Report.

CAE AUTOMATION AND DATA INTEGRITY MATRIX

CAE Tool TypeCAE Platforms CoveredAutomation CapabilityEngineering Outcome
FEA Pre-Processing AutomationANSYS Mechanical (PyANSYS), Abaqus (Python API), Simcenter Nastran, HyperMesh (Tcl/Python)Automated model setup from CAD geometry import, material assignment from PLM database, boundary condition templates, load case definition from design specifications50–70% reduction in FEA setup time. Boundary condition errors eliminated from templated setup.
Mesh Quality EnforcementHyperMesh (Tcl/Python), ANSA (Python), ANSYS Meshing (PyANSYS), ICEM CFD, PointwiseAutomated mesh quality checks (aspect ratio, Jacobian, skewness, warpage), mesh correction scripts, element quality report generation, batch meshing for standard geometry familiesMesh quality standard enforced before every solve. Simulation failures from poor mesh quality eliminated.
Solver Batch Submission and HPC ManagementANSYS RSM, LSF, PBS Pro, SLURM, SGE job schedulers. LS-DYNA, Nastran, Abaqus, Fluent HPC submission.Automated job submission from pre-processed models, solver queue management, job status monitoring, completed job notification, failed job alerting with error classificationManual HPC submission effort eliminated. Solver queue utilisation improved 20–35%.
Post-Processing and Results ExtractionANSYS CFD-Post (Python), Abaqus Viewer (Python), HyperView (Tcl/Python), Simcenter Post, LS-PrePostAutomated results contour plot generation to standard templates, scalar result extraction (max stress, displacement, natural frequency), load case comparison, batch results database population60–80% reduction in post-processing and results extraction effort per simulation model.
CAE Data Integrity and Version ControlPLM REST APIs (Teamcenter, Windchill, 3DEXPERIENCE), Git for CAE script versioning, custom metadata databasesCAE model-to-CAD revision linkage, simulation results archived with originating geometry revision reference, model change tracking, simulation database governanceSimulation results always traceable to originating CAD geometry revision. Regulatory evidence complete.
CAE Report GenerationPython (python-docx, ReportLab, Jinja2 templates), PowerPoint automation, PLM document managementAutomated simulation report generation from results database — standard report templates populated with plots, tables, and scalar results without manual copy-paste from post-processorReport preparation time reduced 70–85%. Report format consistency enforced automatically.
EMUG's CAE automation programmes are calibrated for five key engineering and manufacturing sectors — with solver-specific automation libraries, data integrity frameworks, and PLM integration patterns pre-built for each sector's simulation environment.

INDUSTRY ALIGNMENT

Engineering automation services EMUG
Automotive OEMs & Tier 1 Suppliers

CAE automation for crash (LS-DYNA), NVH (Nastran, Abaqus), durability (ANSYS, Abaqus), and thermal management (ANSYS Fluent, CFX) simulation workflows. Data integrity tools linking crash and NVH simulation results to Teamcenter CAD revisions for IATF 16949 design validation evidence. HPC batch management for high-volume simulation programmes.

Aerospace & Defense

CAE automation for structural (Nastran, Abaqus), aeroelastic (Nastran SOL144/145), CFD (ANSYS Fluent, Star-CCM+), and fatigue (FEMFAT, nCode) simulation workflows. AS9100 simulation data integrity — simulation results traceable to certified CAD revision in Teamcenter or ENOVIA for design verification documentation.

Industrial Machinery & Equipment

FEA pre-processing automation for structural and thermal analysis of pressure vessels, heat exchangers, and rotating equipment in ANSYS Mechanical and Abaqus. ASME VIII pressure vessel analysis automation. Modal and harmonic response automation for rotating machinery. Post-processing automation for equipment certification report generation.

Energy, Oil & Gas

Structural and thermal FEA automation for pipeline, pressure vessel, and offshore structure analysis. ANSYS and Abaqus automation for API and ASME code compliance stress analysis. CFD automation for flow equipment design in ANSYS Fluent. Fatigue and fracture mechanics automation for pipeline integrity assessment.

High-Tech & Electronics

Thermal management simulation automation in ANSYS Icepak and Fluent for PCB and electronic enclosure design. Structural reliability FEA for solder joint and component packaging analysis. Drop test and vibration simulation automation. Simulation data integrity connecting electronic product CAD revisions to thermal and structural simulation results.

VALUE PROPOSITION
60% average reduction in CAE pre and post-processing timeEMUG SOLVE-delivered CAE automation tools achieve an average 60 percent reduction in pre-processing and post-processing time for targeted simulation workflows — measured against the effort baseline established in the Survey phase and validated in the performance benchmark delivered with the UAT sign-off report.
CAE data integrity by design — simulation results traceable to CAD revisionEMUG SOLVE data integrity frameworks link every simulation result to the specific CAD geometry revision it was computed from — using PLM revision identifiers stored in CAE model metadata and results database records. This traceability is the prerequisite for AS9100 design verification evidence and IATF 16949 validation records that reference specific simulation analyses.
PyANSYS, Abaqus Python, and HyperMesh Tcl expertise in-houseEMUG Tech’s CAE automation developers work in ANSYS Mechanical, Abaqus, Simcenter Nastran, and HyperMesh daily — understanding solver convergence behaviour, mesh topology requirements, and post-processing data structures at the level needed to build automation that handles real industrial simulation models, not textbook examples.
Batch automation connecting pre-processing through HPC to post-processingEMUG SOLVE builds end-to-end CAE workflow automation — from geometry import and model setup through HPC batch submission and queue management through automated post-processing and report generation — eliminating the manual steps at every stage of the simulation pipeline that currently prevent simulation engineers from running more studies in the same time.
Mesh quality standards enforced automatically before every solveEMUG SOLVE mesh quality enforcement tools run standard mesh quality checks (Jacobian ratio, aspect ratio, warpage, skewness per solver requirements) automatically before every batch submission — rejecting models that fail quality thresholds and generating a quality report identifying the specific elements and regions requiring attention.
Tools built for simulation engineers — not generic IT solutionsEvery EMUG SOLVE tool is designed around the specific workflows of the simulation engineering team it serves — the actual model file structures, solver parameter sets, results quantities, and report formats used in production — rather than a generic simulation automation framework that requires extensive configuration before it handles real engineering data.
Frequently Asked Questions

Expert answers from EMUG Tech's CAE Automation & Data Integrity practice.

EMUG Tech delivers six CAE automation and data integrity service areas: FEA pre-processing automation reducing model setup time for ANSYS, Abaqus, Nastran, and HyperMesh; mesh quality enforcement tools running standard checks before every solver submission; HPC batch submission and job management automation; post-processing and results extraction automation generating standard plots and reports; CAE data integrity tools linking simulation models and results to originating CAD geometry revisions; and automated report generation from simulation results databases. All programmes follow the EMUG SOLVE Framework — five phases covering Survey, Outline, Launch, Validate, and Enable.
EMUG SOLVE is the five-phase CAE automation delivery methodology: Survey — simulation workflow observation, effort quantification, and data integrity risk mapping; Outline — tool design, API selection, and data integrity framework architecture; Launch — CAE script and application development with unit testing; Validate — integration testing on production-representative simulation models with UAT; Enable — deployment to engineering workstations and HPC, user training, and 30-day adoption monitoring. SOLVE ensures CAE automation tools are tested against real industrial simulation models before deployment and delivers measurable effort reduction benchmarked against the pre-automation time baseline.
EMUG Tech develops CAE automation using the native scripting interface of each solver and pre/post-processor: PyANSYS (Python API covering ANSYS Mechanical, Fluent, CFX, and ANSYS ACT extensions); Abaqus Python scripting API for model creation, modification, and results extraction in Abaqus/CAE and Abaqus/Viewer; Simcenter Nastran DMAP (Direct Matrix Abstraction Program) and Python for Nastran pre/post automation; HyperMesh Tcl/Python API for model setup, mesh quality checking, and results processing in the HyperWorks suite; and LS-DYNA Python keyword processing for model creation and results extraction. Multi-solver automation programmes connecting pre-processing in HyperMesh through ANSYS or Abaqus solving are an EMUG Tech specialty.
CAE data integrity means that every simulation model and its results are traceable to the specific CAD geometry revision they were computed from — and that this linkage is stored in a governed system rather than in a simulation engineer’s personal folder structure. CAE data integrity is critical for three reasons: design verification evidence for AS9100 and IATF 16949 requires simulation results to be linked to specific design revisions; engineering change management requires knowing which simulations need to be re-run when geometry changes; and design decision making requires confidence that the simulation results referenced in a design review correspond to the current geometry, not an earlier revision. EMUG SOLVE data integrity frameworks implement CAE-to-PLM linkage storing the PLM item revision identifier in CAE model metadata and results records.
EMUG Tech automates ANSYS Mechanical pre-processing using PyANSYS — Ansys’s Python client library covering ANSYS Mechanical, Fluent, MAPDL, and ANSYS ACT extensions. Pre-processing automation covers: geometry import from CAD (STEP, Parasolid, or direct NX/Creo connection via ANSYS SpaceClaim); material assignment from an engineering materials database (eliminating manual material selection); boundary condition application from standard template libraries (fixed supports, pressure loads, thermal conditions by load case type); mesh size and method specification from component class (thin-shell, solid, contact pair mesh settings); and solver parameter configuration from simulation type (static structural, modal, transient thermal). The result is a consistently set-up model ready for solve rather than one configured from memory by each individual simulation engineer.
EMUG Tech builds HPC batch automation frameworks connecting CAE pre-processing completion to solver submission through the cluster job scheduler — LSF, PBS Pro, SLURM, or SGE depending on the HPC environment. The automation covers: validated model packaging (solver input file, material database, result request definition, restart point configuration); job submission with appropriate resource request (cores, memory, wall time by simulation type); queue status monitoring with email or messaging notification on job completion or failure; failed job classification (convergence failure, resource limit exceeded, licensing queue wait) with appropriate retry or escalation logic; and completed job post-processing trigger activating the results extraction pipeline automatically on solver completion.
EMUG Tech connects CAE automation tools to PLM systems using the PLM’s REST API: Teamcenter Services API and Active Workspace API for Teamcenter environments; Windchill REST Services for PTC Windchill environments; and 3DEXPERIENCE REST APIs for Dassault environments. The CAE-PLM integration covers: reading the CAD item revision and associated simulation specification from PLM to drive automation setup; creating CAE simulation objects in PLM linked to the originating CAD geometry revision; saving simulation results (solver output files, results databases, report documents) to PLM simulation objects; and triggering PLM simulation review workflows when results are available for engineering review. This integration makes the PLM system the system of record for simulation data rather than a network drive.
CAE automation and data integrity programmes are delivered across automotive OEMs and Tier 1 suppliers (crash, NVH, durability, thermal), aerospace and defense manufacturers (structural, aeroelastic, CFD, fatigue), industrial machinery producers (structural, thermal, CFD for equipment), energy companies (pressure vessel, pipeline, CFD for flow equipment), and high-tech electronics firms (thermal management, structural reliability) in 20 countries: Germany, France, UK, Netherlands, Sweden, Italy, Spain, Poland, Czech Republic in Europe; India, Japan, South Korea, China, Malaysia, Thailand in Asia-Pacific; UAE and Saudi Arabia in the Middle East; USA, Canada, Mexico, Brazil in the Americas.

Run More Simulations in the Same Time — Without More Simulation Engineers.

Connect with EMUG Tech's CAE automation specialists to map your highest-effort simulation workflows, scope your SOLVE programme, and define the data integrity framework your simulation results require.
Advancing industries requires reimagining how products are designed, built and optimized at scale.

Simulation Results That Are Traceable, Repeatable, and Ready in Half the Time.

Partner with EMUG Tech to automate your CAE simulation workflows — FEA pre-processing, mesh quality enforcement, HPC batch management, post-processing, and simulation data integrity tools built for ANSYS, Abaqus, Nastran, and HyperMesh using the EMUG SOLVE Framework.
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