Jose VC

Original OneNote page: Survey and research - Jose VC

Route: meeting/person note

Categories: people_meetings

Source

• Word export: C:\Users\adeel\OneDrive\100_Knowledge\203_TextCAD\01_Product_Project_Management\TextCAD_Wiki\inbox\onenoteexport\01_PROJECTS\Gauss Compute\Survey and research - Jose VC.docx
• MHT export: C:\Users\adeel\OneDrive\100_Knowledge\203_TextCAD\01_Product_Project_Management\TextCAD_Wiki\inbox\onenoteexport\01_PROJECTS\Gauss Compute\Survey and research - Jose VC.mht

Extracted Notes

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• Jose VC
• Here’s a polished and structured version of your interview notes with José V. C. (Stress Engineer, Deutsche Aircraft) — organized for clarity and direct usability in your business or research documentation:
• Interview Notes – José V. C.
• Role: Stress Engineer, Deutsche Aircraft
• 1. Workload and Time Distribution
• Task
• Typical Time Spent
• Preparing input for analysis (gathering loads, materials, geometry, boundary conditions)
• 50–70%
• Analysis methodology & execution
• ~10%
• Post-processing & reporting
• 20–30%
• Key takeaway:
• The majority of a stress engineer’s time is spent preparing inputs rather than performing actual analysis.
• 1. Common Issues Observed
• 1. Missing or Outdated Stress Manuals
• Many stress manuals are outdated or lost, e.g., those inherited from DonAir.
• Lack of centralized or searchable knowledge makes it hard to find standard calculation methods.
• Example: Embraer maintains a dedicated manual for calculating interface loads — a best practice that others lack.
• 1. Limited Use of LLMs / AI Tools
• Company laptops do not allow use of LLMs or AI tools due to data security policies.
• José uses them privately on his phone; managers informally encourage experimentation.
• Data governance and confidentiality remain significant barriers (similar to VC).
• 1. Missing Interface Loads in Small Organizations
• In smaller companies or new aircraft programs, interface loads are often unavailable.
• In contrast, established OEMs maintain comprehensive load databases, simplifying analysis.
• Workaround: refine design requirements to extract approximate interface loads.
• Access to prior load data in mature organizations accelerates analysis considerably.
• 1. How AI Could Help
• 1. Automating Input Collection
• AI could save time by gathering and verifying analysis inputs:
• Loads (from reports or databases)
• Material properties
• Geometrical parameters
• Example: a report containing correct CAE loads was lost, and an analysis was performed with incorrect data — an AI system could have detected or prevented this inconsistency.
• 1. Methodology Recommendation
• AI could assist engineers by:
• Suggesting the appropriate analysis methodology for a given problem.
• Providing example workflows or templates (similar to digital handbooks).
• Reducing ambiguity in early design phases where multiple analysis paths are possible.
• 1. Key Insights
• The real bottleneck in stress analysis lies in input preparation and data retrieval, not in the analysis itself.
• There is a critical need for knowledge management: live, searchable manuals and load databases.
• AI/LLM systems, if deployed locally and securely, could act as assistants to:
• Retrieve, verify, and cross-reference analysis inputs.
• Recommend standard methodologies.
• Prevent errors due to lost or inconsistent data.
• ✅ Summary:
• José’s experience highlights a widespread challenge in aerospace stress engineering — information fragmentation and manual data preparation consume up to 70% of an engineer’s time. AI systems that centralize knowledge (stress manuals, loads, materials) and guide methodology selection could dramatically improve...
• Would you like me to create a 1-paragraph “Interview Insight Summary” version (like you’d use in a business plan or presentation slide) next?
• From https://chatgpt.com/g/g-p-689b4dd612f4819191e700de385217ce-business-ideas/c/68d11b92-4fd4-832a-bb58-42235673c2f3
• Jose VC
• Stress Engineer, Deutsche Aircraft
• Time distribution for work
• Preparing input for the analysis, 50-70%
• Analysis methodology and Analysis, 10%
• Post processing, 20-30%
• Common Issue he has observed in his companies
• 1. Stress Manuals lost or not updated
• Most of the manuals from DonAir were lost
• when you want to search from specific calculations, its really hard
• Example: Embraer has a manual for calculating interface loads
• 1. Not allowed to use llm on his work laptop
• Uses on his phone, and his managers encourage it
• Data inside llm also an issue in deutsche aircraft, like VC
• 1. In small companies or new products, interface loads not available
• • Interface loads are available in big companies, and makes life much easier
• • refine requirements so that you may get something like an interface load
• • you already have interface loads for many existing products
• How can AI help
• 1. Save time to find inputs
• • time consuming tasks
• • get all input for the analysis
• • loads
• • materials
• • input is requirements and loads, and takes the most time
• Example: report for CAE loads were lost, the analysis was done on the wrong loads
• Afterwards it was found out that the loads were available in another report
• 1. What would be the methodology for the analysis

URLs Found

• https://chatgpt.com/g/g-p-689b4dd612f4819191e700de385217ce-business-ideas/c/68d11b92-4fd4-832a-bb58-42235673c2f3

Next Curation Action

Promote this into a person page, link it to the relevant company/account, and create/update the EspoCRM contact if this relationship is still active.

Sources

• C:\Users\adeel\OneDrive\100_Knowledge\203_TextCAD\01_Product_Project_Management\TextCAD_Wiki\inbox\onenoteexport\01_PROJECTS\Gauss Compute\Survey and research - Jose VC.docx
• C:\Users\adeel\OneDrive\100_Knowledge\203_TextCAD\01_Product_Project_Management\TextCAD_Wiki\inbox\onenoteexport\01_PROJECTS\Gauss Compute\Survey and research - Jose VC.mht