Program overview

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Program overview

This chapter describes basic information about CutLogic 1D program good to know before you start to use the program.

The basic concepts and terms

This chapter explains basic concepts and commonly used terms used in the program.

Commonly used terms

Program or CutLogic 1D means CutLogic 1D software application.

Optimization is process of finding the cutting plan with the optimized cutting layouts.

Plan represents definition of cutting plan.

Stock represents material available for cutting; it is input into cutting plan.

Part represents piece of material required to be cut; it is input into cutting plan.

Remnant represents reusable rest of Stock (also called reusable off-cut).

Scrap represents useless rest of Stock.

Report represents special layout displaying the data in printable format.

Filter represents set of conditions filtering data.

Material represents definition of unique material. One plan may contain only one Material.

Assembly represents unique definition of logically grouped Parts.

Storage represents definition of unique logical or physical storage or warehouse for Materials.

Basic concepts

CutLogic 1D contains following sections:

Plans

Materials

Assemblies

Storages

You can switch among these sections by clicking one of the icons representing given section in the tool panel or from the main menu (Machines, Edge bandings).

XD_ToolPanel

Every section consists of one master tab and may contain more detail tabs. Master tab is first tab displayed in tabs from the left and contains small icon.

XD_PlansTabArea

XD_MaterialsTabArea

XD_AssembliesTabArea

XD_StoragesTabArea

CutLogic 1D is unique in term of handling and displaying master-detail relations of data. If detail tab is applicable, following navigator is displayed in tool panel.

XD_ToolPanelNavigator

This navigator enables you to browse the records in related master tab while detailed information for active detail tab is displayed on the screen. This is very helpful feature enabling you better orientation among your data.