Verification and virtual commissioning of configurable handling systems
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1 Verification and virtual commissioning of configurable handling systems Design and Development Engineer Reishauer AG June, 2017 Reishauer AG Industriestrasse Wallisellen Switzerland
2 Adopt virtual commissioning: Verify design and tailor your solution to customer s requirements in a cost-effective way Increase efficiency: Reuse existing data in one environment to get actionable results in days instead of weeks Broaden the horizon: Leverage the multi-domain simulation platform to address multiple business and technical challenges Key takeaways Folie 2
3 FACTS & FIGURES I/II 1,100 employees worldwide 1, employees 400 employees Reishauer Felsomat 360 M CHF 360 million consolidated net sales 33% Asia 35% Americas 32% Europe Reishauer group Folie 4
4 FACTS & FIGURES II/II 18 M Research and Development Expenditures CHF 18 millions p. a. 5 % of annual net sales 18 M Investments CHF 18 millions p. a. 82 % Machines 2 % IT 16 % Real Estate Reishauer group Folie 5
5 1. Verification: Customer requirements such as cycle times are nearly impossible to calculate in advance 2. Mathematics: Traditional calculations of single components result in a fragmented validation with limited insights. 3. Communication: Better integration of multi-domain knowledge needs working together: software, electronics, mechanics. 4. Resources: Is this necessary? Challenges Folie 6
6 1. Workflow: From customer s requirements to virtual commissioning 2. Data: Reusing of configurable CAD- model for customer-specific, dynamic simulations 3. Technology: Partially elastic multi-domain system models with variants One platform: Using MathWork s Simulink Solutions summary Folie 7
7 Solution: Virtual machine Folie 8
8 Feasibility studies of customer s processes Better pricing Simulations with Simulink are fast and deliver more insights than traditional analytical models Faster development Simulation results can be used for accurate dimensioning of components Lower costs Calculate lifetime of linear guideways according to customers process to predict service intervals Workflow: The Idea Industry 4.0 Folie 9
9 Quote Configuratordatabase Modeldatabase Customized libraries Configurator- Software CAD- Scripts Simscape Multibody Link Matlab Scripts Customer s requirements Determine handling type Create CAD- Models Export CAD to Simscape Model Create Simscape Model Typekey Customer s machine layout Simplified CAD- Model Library Blocks Simscape Model Review the Process Workflow: The process Folie 10
10 Specifications of customer s handling system Workflow: The elements Folie 11
11 Part list of handling system Workflow: The elements Folie 12
12 Examples of configured CAD Models Workflow: The elements Folie 13
13 Different grades of details and simplification Bodies Simscape-Model too complex Not enough RAM for loading Bodies Very slow graphics update Long caculation times 24 Bodies Only moving elements Simple model to work with Data: CAD Models Folie 14
14 Simulink-models: Imported and conditioned for the library Simplification Data: Create Simulink Model Folie 15
15 What output do I need? What input data do I have? How detailed are the physical models? Technical Datasheet Technology: Physics Folie 16
16 Library with variants of motor models: Technical Datasheet Proof-of-Concept with MathWorks support Technology: Motor variants Folie 17
17 Input of measured motor position values Input of path points and calculation of motor positions Template block to choose block variants Technology: Input variants Folie 18
18 Current system Virtual prototype: better trajectories, faster, less moving mass, cheaper Solution: Virtual machine of different Systems Folie 19
19 Simulation Data Inspector: View of results during one cycle Belt tensions [N] Axis positions [mm] Deviation stiff vs. Elastic [mm] Technology: Output Folie 20
20 Motor Current Comparison of measurements and model: Technology: Reality Folie 21
21 Feasibility studies of customer s processes Better pricing Simulations with Simulink are fast and deliver more insights than traditional analytical models Faster development Simulation results can be used for accurate dimensioning of components Calculate lifetime of linear guideways according to customer s process to predict service intervals and Conclusion: The idea has become reality Lower costs Industry 4.0 Folie 22
22 Benefit for BOTH: Customer and Company Conclusion: The idea has become reality Folie 23
23 Better pricing Optimal quote for customer, less risk for company Faster development Virtual commissioning leads to less failures in process Lower costs -30% drive size for same performance Industry 4.0 Calculate total cost of ownership possible Conclusion: The idea has become reality Folie 24
24 Next steps: Future tasks: Integration of workflow in everyday use for other engineers Optimization of: Hardware Software Trajectories Integration of machine logic: State machine Code generation of model Downgrade from NC to PLC Integration: Hardware in the loop for parameter estimation and error handling Follow up Folie 25
25 Not trying is like failing before starting Reishauer AG Industriestrasse Wallisellen Switzerland
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