Off-line programming software OpenLoop
simulationproduction optimizationgraphic

Off-line programming software - OpenLoop - Strothmann Machines & Handling GmbH - simulation / production optimization / graphic
Off-line programming software - OpenLoop - Strothmann Machines & Handling GmbH - simulation / production optimization / graphic
Off-line programming software - OpenLoop - Strothmann Machines & Handling GmbH - simulation / production optimization / graphic - image - 2
Off-line programming software - OpenLoop - Strothmann Machines & Handling GmbH - simulation / production optimization / graphic - image - 3
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Characteristics

Function
off-line programming, simulation, production optimization, graphic
Applications
TCP
Type
3D

Description

The OpenLoop software offers a complete tool set for 3D simulation, offline programming and optimisation of handling processes. The process becomes more transparent and significant improvements in output and system set-up times are possible. •Full offline programming •Increased output through optimised movements •High level of safety thanks to collision monitoring •Reduction of try-out times •Virtual teaching, set-up and run-in of products •Optimisation of grippers and tools as early as the design phase •Open system, i.e. suitable for automation equipment from any manufacturer •Representation of any mechanisms •Accounting for axis limits (position / speed / acceleration/jolt) •Interactive teaching of the Tool Centre Points (TCP) •Switching between different TCPs of one mechanism, e.g. to represent different tools •Nesting of mechanisms (e.g. for transfer gripper) •Import of STEP files, STL files and other 3D formats •Geometry tools for generating simple bodies •Collision analysis through free definition of contact pairs •Simple generation of collision bodies •Graphical display and diagram-based logging of collisions •Interactive 3D teaching mode •Smoothing and factorisation of movement sections •Sequence control with visual programming in integrated graphical interface •Advanced sequence control through Python scripts •Virtual sensor system and actuator system •Virtual part generation from templates and transport via virtual conveyor belts •Tracing of signals and signal-based debugging to find sequence errors •Movement definition through common program elements (P2P, LIN, CIRC) •Import of defined axis movements from external sources

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