Altair Case Studies XLDyn's Real-Time Management Visibility in Early Vehicle Requirements Development

	XLDyn's Real-Time Management Visibility in Early Vehicle Requirements Development Altair

XLDyn's Real-Time Management Visibility in Early Vehicle Requirements Development

Altair

Technology Category	Analytics & Modeling - Real Time Analytics Robots - Autonomous Guided Vehicles (AGV)
Applicable Industries	Aerospace Automotive
Applicable Functions	Product Research & Development
Use Cases	Real-Time Location System (RTLS) Vehicle Performance Monitoring
Challenge	The automotive, heavy equipment, and aerospace industries face a significant challenge in verifying vehicle requirements, developing design parameters, and providing real-time project status to management. The traditional method of capturing requirements in a Word document is time-consuming and inefficient. Furthermore, the process of verifying these requirements using corporate fuel economy prediction software and cell equations is complex and requires a high level of expertise. Additionally, setting body bending and torsional mode natural frequency targets to meet program objectives is a critical task that requires precision and accuracy. The challenge also extends to the use of a coarse geometry model for dynamic finite element analysis, which requires the transmission of requirements and work requests to the CAE Team. Once completed, the results need to be returned and the status automatically updated, a process that can be prone to delays and inaccuracies. Read More
About Customer	The customer in this case study is a company operating in the automotive, heavy equipment, and aerospace industries. They are involved in the development of vehicles and need to verify vehicle requirements, develop design parameters, and provide real-time project status to management. They have specific targets for fuel economy and body bending and torsional mode natural frequencies that need to be met. They also use a coarse geometry model for dynamic finite element analysis and work closely with a CAE Team to achieve their objectives. Read More
Solution	XLDyn's MBSE models with integrated verification methods provide a solution to these challenges. The requirements, initially captured in a Word document, can be imported into XLDyn and converted into a SysML Diagram in a matter of minutes. This not only saves time but also enhances the accuracy and efficiency of the process. The requirements are then verified using the corporate fuel economy prediction software along with cell equations, ensuring that the vehicle meets the Combined City/Highway Fuel Economy target of 26 MPG. Furthermore, body bending and torsional mode natural frequency targets are set to meet program objectives. A coarse geometry model is used for dynamic finite element analysis, with the requirements and work request transmitted to the CAE Team. Once completed, the results are returned and the status automatically updated, providing real-time updates to project status. This allows the Chief Engineer to view the overall status of the vehicle program. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Robots - Autonomous Guided Vehicles (AGV)

Applicable Industries

Aerospace

Automotive

Applicable Functions

Product Research & Development

Use Cases

Real-Time Location System (RTLS)

Vehicle Performance Monitoring

Challenge

The automotive, heavy equipment, and aerospace industries face a significant challenge in verifying vehicle requirements, developing design parameters, and providing real-time project status to management. The traditional method of capturing requirements in a Word document is time-consuming and inefficient. Furthermore, the process of verifying these requirements using corporate fuel economy prediction software and cell equations is complex and requires a high level of expertise. Additionally, setting body bending and torsional mode natural frequency targets to meet program objectives is a critical task that requires precision and accuracy. The challenge also extends to the use of a coarse geometry model for dynamic finite element analysis, which requires the transmission of requirements and work requests to the CAE Team. Once completed, the results need to be returned and the status automatically updated, a process that can be prone to delays and inaccuracies.

About Customer

The customer in this case study is a company operating in the automotive, heavy equipment, and aerospace industries. They are involved in the development of vehicles and need to verify vehicle requirements, develop design parameters, and provide real-time project status to management. They have specific targets for fuel economy and body bending and torsional mode natural frequencies that need to be met. They also use a coarse geometry model for dynamic finite element analysis and work closely with a CAE Team to achieve their objectives.

Solution

XLDyn's MBSE models with integrated verification methods provide a solution to these challenges. The requirements, initially captured in a Word document, can be imported into XLDyn and converted into a SysML Diagram in a matter of minutes. This not only saves time but also enhances the accuracy and efficiency of the process. The requirements are then verified using the corporate fuel economy prediction software along with cell equations, ensuring that the vehicle meets the Combined City/Highway Fuel Economy target of 26 MPG. Furthermore, body bending and torsional mode natural frequency targets are set to meet program objectives. A coarse geometry model is used for dynamic finite element analysis, with the requirements and work request transmitted to the CAE Team. Once completed, the results are returned and the status automatically updated, providing real-time updates to project status. This allows the Chief Engineer to view the overall status of the vehicle program.

Impact #1	The implementation of XLDyn's MBSE models with integrated verification methods has resulted in significant operational improvements. The process of verifying vehicle requirements and developing design parameters has become more efficient and accurate. The real-time updates to project status have enhanced management visibility, enabling better decision-making and project management. The ability to meet specific targets for fuel economy and body bending and torsional mode natural frequencies has improved the quality of the vehicles being developed. Furthermore, the use of a coarse geometry model for dynamic finite element analysis has streamlined the process and improved the accuracy of the results. Overall, the solution has enhanced the operational efficiency and effectiveness of the company.

Impact #1

The implementation of XLDyn's MBSE models with integrated verification methods has resulted in significant operational improvements. The process of verifying vehicle requirements and developing design parameters has become more efficient and accurate. The real-time updates to project status have enhanced management visibility, enabling better decision-making and project management. The ability to meet specific targets for fuel economy and body bending and torsional mode natural frequencies has improved the quality of the vehicles being developed. Furthermore, the use of a coarse geometry model for dynamic finite element analysis has streamlined the process and improved the accuracy of the results. Overall, the solution has enhanced the operational efficiency and effectiveness of the company.

Benefit #1	Time saved by converting requirements into a SysML Diagram in minutes
Benefit #2	Achievement of Combined City/Highway Fuel Economy target of 26 MPG
Benefit #3	Real-time updates to project status

Benefit #1

Time saved by converting requirements into a SysML Diagram in minutes

Benefit #2

Achievement of Combined City/Highway Fuel Economy target of 26 MPG

Benefit #3

Real-time updates to project status

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Overview

XLDyn's Real-Time Management Visibility in Early Vehicle Requirements Development

Operational Impact

Quantitative Benefit