Tag Archives: Quality Control

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)]

Read More

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

Read More

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

Read More

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

Read More

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

Read More

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

Read More

Fig. 3. Examples of dense ceramic components of manufacturing equipment for semiconductor devices and liquid crystal display panels.

Automotive and industrial applications of structural ceramics in Japan

A Review of Japan’s Evolving Ceramics Market: From High-Stress Engine Parts to High-Purity Electronics This technical brief is based on the academic paper “Automotive and industrial applications of structural ceramics in Japan” by Akira Okada, published in the Journal of the European Ceramic Society (2008). It is summarized and analyzed for industry professionals by the

Read More

Unlocking 31% Higher Hardness in Aluminum Composites: A Data-Driven Guide to Process Optimization

This technical summary is based on the academic paper “Stir Casting Process Analysis and Optimization for Better Properties in Al-MWCNT-GR-Based Hybrid Composites” published by Kanchiraya Shivalingaiah, Vinayaka Nagarajaiah, et al. in Metals (2022). It was analyzed and summarized for casting experts by CASTMAN experts with the help of LLM AI such as Gemini, ChatGPT, and

Read More

Figure 1. Schematic diagram of a typical HPDC process.

Development_of_High_Performance_Copper_Alloy_Chill_Vent_for_High_Pressure_Die_Casting

Boost Cooling Efficiency by 158%: The Power of Copper Alloy Chill Vents in HPDC This technical summary is based on the academic paper “Development of High Performance Copper Alloy Chill Vent for High Pressure Die Casting” published by Duoc T Phan, Syed H Masood, Syed H Riza, and Harsh Modi in International Journal of Mechanical

Read More

Figure 1. Schematic illustration of the placement of electric resistance heaters and insulation in the die material testing and now being adopted commercially by motor manufacturers

Die-Cast Copper Rotors: The HPDC Breakthrough for Lighter, More Efficient, Longer-Lasting Motors

This technical summary is based on the academic paper “Copper in the Rotor for Lighter, Longer Lasting Motors” presented at the ASNE SAN DIEGO SECTION FLEET MAINTENANCE SYMPOSIUM 2005 by C. Stark, J. G. Cowie, D. T. Peters, and E. F. Brush, Jr. It was analyzed and summarized for HPDC experts by CASTMAN experts with

Read More