Problem-Solving Materials: Utilizing 3D Data Edition 12 | Trial of Press Die Design
Minimizing mold corrections! What are the methods to streamline "design, analysis, and measurement" in press mold manufacturing? A resource for discovering and solving challenges in the production site.
This document is a series that proposes solutions to various challenges faced in the production field, from identifying issues to finding resolutions. In the "3D Data Utilization Edition," we introduce various solutions to manufacturing challenges through the use of 3D data. [Document Overview] In the design of press molds where springback occurs, we hear voices from those who feel challenged by the need to reduce the man-hours associated with mold modifications, such as: "They are required to minimize the number of design revisions, but there are frequent modifications." "The actual measurements of trial products vary depending on the technician's skill, making feedback not smooth." To resolve this issue, it is important to establish a cycle that allows: (1) Anyone to measure accurately, (2) Anyone to predict accurately, (3) Anyone to correct accurately. Therefore, this document introduces a "system for press mold design" that can establish the above cycle. It provides a detailed explanation of the benefits of combining a CAD system that enables anyone to perform "design, analysis, and measurement" accurately and efficiently with a 3D scanner. *You can download the document using the button below.
basic information
■Vol.12 "Prototyping Accuracy of Press Dies" - Current Status of Complex Press Forming Dies - Tryout and Modification Loop - Remaining Challenges in Measuring Deformation, Solutions for Both Sides ■Vol.12-1 "Deformation Estimates Based on Actual Measurements" - Accurate Measurement of Tryout Formed Products - Reflecting Correction Values into the Die Model Based on Actual Values from 3D Scanning
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Please use this as a hint for those who are looking to reduce the man-hours for mold production or are struggling with reducing production time and costs.