Tag Archives: CAD

Figure 3: Residual Plots for Yield Strength of a FSW Joint in ANOVA

Maximizing Friction Stir Welding (FSW) Strength: A Statistical Optimization for Joining Dissimilar Aluminum Alloys

This technical brief is based on the academic paper “A STATISTICAL ANALYSIS OF JOINT STRENGTH OF DISSIMILAR ALUMINIUM ALLOYS FORMED BY FRICTION STIR WELDING USING TAGUCHI DESIGN APPROACH, ANOVA FOR THE OPTIMIZATION OF PROCESS PARAMETERS” by Mohammed Yunus & Mohammad S. Alsoufi, published in [IMPACT: International Journal of Research in Engineering & Technology (IMPACT: IJRET)]

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A REVIEW STUDY IN ENHANCING THE OPTIMISATION PROCESS FOR AA6351 ALLOY USING FSW TECHNIQUES - LITERATURE SURVEY

A REVIEW STUDY IN ENHANCING THE OPTIMISATION PROCESS FOR AA6351 ALLOY USING FSW TECHNIQUES – LITERATURE SURVEY

This introduction paper is based on the paper “A REVIEW STUDY IN ENHANCING THE OPTIMISATION PROCESS FOR AA6351 ALLOY USING FSW TECHNIQUES – LITERATURE SURVEY” published by “MATERIAL SCIENCE AND TECHNOLOGY”. 1. Overview: 2. Abstract: Friction stir welding is the solid type welding which uses best tool that is used to join two workpieces without

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Figure 1 - EZAC net shape insert molded crankshaft prototype for lawn trimmer

Recent Zinc Die Casting Developments

How New EZAC® and HF Alloys Are Overcoming Traditional Temperature and Weight Limitations in Die Casting This technical brief is based on the academic paper “Recent Zinc Die Casting Developments” by R. Winter and F. E. Goodwin, Sc.D., published by the North American Die Casting Association (2013). It is summarized and analyzed for HPDC professionals

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Table 1- Coefficients of quadratic (i.e., +,- ) and linear (i.e., ./ - ) effects as well as the p-value of the quadratic effects of explanatory variables with negative +,- values in the logistic, probit, and cloglog models, where the best choice (i.e., maximizer) is calculated given by −./ -/0+,-.

TOWARDS AN AI-Driven Smart Manufacturing of Diecastings

From Root Cause Analysis to Predictive Quality: A Dual AI Approach to Slash Die Casting Scrap Rates This technical brief is based on the academic paper “TOWARDS AN AI-Driven Smart Manufacturing of Diecastings” by F. Liu, S. Wang, X. Liu, T. Zhang, B. Yang, Q. Han, D. Yang, and Corey Vian, published in NADCA Transactions

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Figure. 3 Comparing score of feature importance analysis results

Factors Analysis and Prediction in Die-casting Process for Defects Reduction

Using Machine Learning to Predict and Reduce Porosity Defects in Die-Casting This technical brief is based on the academic paper “Factors Analysis and Prediction in Die-casting Process for Defects Reduction” by Pavee Siriruk and Titiwetaya Yaikratok, published in the Proceedings of the International Conference on Industrial Engineering and Operations Management (2022). It is summarized and

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Fig.1.Die casting hot chamber machine

Elimination of Wastes In Die Casting Industry By Lean Manufacturing

A Phased, Data-Driven Approach to Eliminating the 5 Major Wastes in Die Casting Operations This technical brief is based on the academic paper “Elimination of Wastes In Die Casting Industry By Lean Manufacturing: A Case Study” by Sumit Kumar Singh, Deepak Kumar, and Tarun Gupta, published in the IOSR Journal of Engineering (IOSRJEN) (2014). It

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Fig. 4. Surface Hardness(HRB).

Comparative Analysis on the Surface Property of SKD 61 Die-casting Steel Using Multilayer PVD Coating

Boosting Durability of SKD61 Die-Casting Steel: A Data-Driven Look at Ti/Cr vs. Ti/Mo PVD Coatings This technical brief is based on the academic paper “Comparative Analysis on the Surface Property of SKD 61 Die-casting Steel Using Multilayer PVD Coating” by Seung Wook Kim, published in the Journal of the Semiconductor & Display Technology (2021). It

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FIGURE 2. Competitive Assessment of Customer Requirements.

Case-study-of-lean-manufacturing-application-in-a-die-casting-manufacturing-company

A Practical Guide to Boosting Productivity and Quality in Die Casting Using Proven Lean Principles This technical brief is based on the academic paper “Case study of lean manufacturing application in a die casting manufacturing company” by Ng Tan Ching, Clarence Chan Kok Hoe, Tang Sai Hong, Morteza Ghobakhloo, and Chen Kah Pin, published in

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Fig 16.- Case A and B, demoldable parts by means of upper and lower cavities.

A New Hybrid Method for Demoldability Analysis of Discrete Geometries in Die Casting

This article introduces the paper “A new hybrid method for demoldability analysis of discrete geometries” presented in Computer-Aided Design. 1. Overview: 2. Research Background: 3. Research Purpose and Research Questions: 4. Research Methodology: 5. Main Research Results: 6. Conclusion and Discussion: 7. Future Follow-up Research: 8. References: 9. Copyright: This material was summarized based on

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