Project of the Month


"CAD/CAM – The Key to Machine Efficiency“

Transforming 3D Designs into 100% Machine-Ready Data

KEY FIGURES


  • 6,000 parts/workday with 1 CAM employee/shift
  • 3% reduced waste rate within the cut-optimization
  • Automatic detection of finished part dimensions through visual edge placement within the design software

INITIAL SITUATION


  • Planning a new furniture parts production in the caravan industry with partially linked machinery systems
  • 3D design data are available, but no automated transfer through a CAM system is in place
  • High number of employees in work preparation/programming/optimization
  • Goal of the new planning: Efficient furniture parts production with a continuous information flow from administration/design to the production level (machines)


  • It is an introduction to CAM software that can automatically take over 100% of the CAD design data!

APPROACH


Step1: Importing 3D Design Parts from CAD


Use Existing Design Data: Utilize available design data (maximum parts list or in-house furniture production).

Integrate Assemblies or Individual Parts: Incorporate assemblies or individual 3D parts into the CAM software.


Extract: Adjustments in 3D Design for Edge Assignments 

Coloring Part Edges: Example: Blue = 0.4mm paper edge.

Automatic Edge Type and Thickness Recognition:

CAM system automatically detects edge type and thickness.

CNC-BIMA selects the appropriate edge type, placement, and thickness for gluing.

Customizable Finished Part Dimensions: Option to include or exclude edge deduction.

Predefined Edge Start and Decor Direction: Automatically used by the CAM system.

Step 2: Generating NC Programs and Transferring to Machines

  • Calculate Waste Rates in CAM Software: Determine the waste rates using the CAM software.
  • Generate Cutting Plans with Machine Simulation: Create cutting plans and simulate the machine operations.
  • Transfer Production Data to Machines and Feedback to ERP/MES: Send production data to the machines and provide feedback to the ERP/MES systems.

Step 2.1:

Transferring 3D Parts into TopSolid Optimization Run

  • Transfer 3D Parts: Import 3D parts into the TopSolid software.
  • Run Optimization: Execute the optimization process within TopSolid.



Step 2.2:

Transferring Nest with Minimum Waste Rate and Shortest Throughput Time

  • Transfer Nest: Send the nest with the lowest waste rate and shortest throughput time to the production system.




Step 2.3:

Simulating Throughput Time and Feasibility

  • Simulate Throughput Time: Run simulations to determine the throughput time for the production process.
  • Assess Feasibility: Evaluate the feasibility of the production plan based on the simulation results.

Step 3: Automatic Label Positioning for Each Part

  • Automatic Label Positioning: Automatically position labels for each part.
  • Collision Calculation: Labels are placed automatically to calculate collisions with drill holes and milling operations in the individual part.

Adequate Solution - TopSolid Wood

CUSTOMER BENEFITS


  • Seamless Information Flow & Process Integration: Ensures smooth data transfer from administration to production, reducing errors, delays, and manual data adjustments. Direct use of design data streamlines processes, saving time and minimizing human error.


  • Automation for Accuracy & Efficiency: Automatic suction cup positioning and part dimension detection improve material handling, accuracy, and consistency. Algorithm-based optimization enhances production efficiency by considering decor, panel thickness, and throughput time while minimizing waste.



  • Enhanced Safety, Transparency & Workforce Support: Automated processes reduce errors, workplace accidents, and repetitive tasks, improving monitoring, control, and job satisfaction. Tool assignment before machine assignment prevents delays, ensuring a smooth workflow.


  • Centralized & Reliable Data Management: Individual part labels provide accurate, up-to-date information for production areas, controlling machine programs and setup processes for optimal efficiency.

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