Optimizing Food Container Design: Taguchi Method and S-N Ratio Analysis for Reduced Shrinkage and Warpage | Chapter 8 | Current Approaches in Engineering Research and Technology Vol. 5

 

Plastic materials are commonly used in various industries due to their special properties including corrosion resistance, lightness, and ease of giving shape. In this study, a food container design was analyzed numerically using a combination of various advanced optimization techniques including the Taguchi Method and S-N Ratio Analysis. The main goal is to maximize product efficiency and quality to improve the strength of product outcomes by identifying and minimizing the impact of various sources of variability. The results showed that to reach the optimum performance, the parameters for melt temperature at 200°C, mold temperature at 30°C, filling time at 1.5 s, pressure holding time 5 s, and pure cooling time at 20 s. The optimum result achieved 0.34 mm and 15.95%, for warpage and shrinkage, respectively. The warpage and shrinkage reduction reached 34.6% and 12.1%, respectively, in comparison with the initial design.

 

 

Author(s) Details

Mehdi Moayyedian

College of Engineering and Technology, American University of the Middle East, Kuwait.

Areej Alhuwais

College of Engineering and Technology, American University of the Middle East, Kuwait.

Altaf Almutairi

College of Engineering and Technology, American University of the Middle East, Kuwait.

Dalal Alkandari

College of Engineering and Technology, American University of the Middle East, Kuwait.

Fatma Ali

College of Engineering and Technology, American University of the Middle East, Kuwait.

Fatma Alwazzan

College of Engineering and Technology, American University of the Middle East, Kuwait.

 

Please see the book here:- https://doi.org/10.9734/bpi/caert/v5/958

Enhancing Injection Molding Processes through Taguchi Method and SolidWorks Plastics for Automotive Applications | Chapter 7 | Current Approaches in Engineering Research and Technology Vol. 5

 

The research project delves into enhancing the injection molding process within the automotive industry. The objective is to refine the efficacy and efficiency of injection molding procedures for manufacturing specific interior plastic components utilizing SolidWorks Plastics and the Taguchi method. Essential elements such as project goals, parameters, and structure are meticulously considered to provide a systematic approach for achieving tangible enhancements in injection molding design. Five distinct process parameters in injection molding are chosen at various levels to minimize shrinkage in the selected component. To evaluate the Signal-to-Noise ratio, the L18 orthogonal array of Taguchi is selected based on the number of parameters and levels. The selected parameters are optimized, resulting in the following settings: the melt temperature is adjusted to 200°C, the mold temperature to 25°C, the filling time to 3 seconds, the pressure holding time to 3 seconds, and the pure cooling time to 3 seconds. Hence, the proposed methodology demonstrates that the Taguchi method is a viable approach for improving injection molding processes across diverse industries, including the automotive sector.

 

Author(s) Details

Mehdi Moayyedian

College of Engineering and Technology, American University of the Middle East, Kuwait.

Fay Abu Ejel

College of Engineering and Technology, American University of the Middle East, Kuwait.

Loulwah Alnaar

College of Engineering and Technology, American University of the Middle East, Kuwait.

Laila Akrouf

College of Engineering and Technology, American University of the Middle East, Kuwait.

Anfal Alotaibi

College of Engineering and Technology, American University of the Middle East, Kuwait.

Eman Alenzi

College of Engineering and Technology, American University of the Middle East, Kuwait.

 

Please see the book here:- https://doi.org/10.9734/bpi/caert/v5/914

Design of Experiments for Milling Al2024-T4 under Optimum Lubricant Use Using Taguchi Method | Chapter 4 | Theory and Applications of Engineering Research Vol. 5

Performance of the machining and the efficiency of milling operation depend on several process variables among which hardness of work material is of great significant. The use of cutting fluids is an important part of a machining process system. Without cutting fluid, tools have only a short life, which makes the machining process costly. In this study, experimentation was carried out to investigate the effect of work hardness on end milling process. Workpiece material hardness is used as a noise factor. Input parameters used are spindle speed, feed; depth of cut and tool diameter. The experiments performed under wet and minimum Quantity lubrication and results of both compared. further for getting optimal lubricant conditions the experiments performed for various levels of flow rates of minimum quantity lubrication to get the best optimal setting. Taguchi method is used for single objective optimization. The S/N is used by Taguchi approach to analyze experimental data. Output parameters are surface roughness, material removal rate, cutting force and tool wear. Design of Experiment (DOE) with Taguchi L27 Orthogonal Array (OA) has been explored to produce 27 specimens on Al2024 aluminium by end milling operation at three different levels of hardness of material. The present study can be used for implementing the Minimum Quantity Lubrication Technique in place of conventional Wet Lubrication. The experiments performed under wet and minimum quantity lubrication condition and results compared. Further For optimal lubricant condition the experiments performed at various flow rate of Minimum Quantity Lubrication and “best” optimal setting is identified.

Author(s) Details:

Shilpa B. Sahare,
Department of Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Wanadongri 441110, Nagpur, India.

Sachin P. Untawale,
Department of Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Wanadongri 441110, Nagpur, India.

Prashant D. Kamble,
Department of Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Wanadongri 441110, Nagpur, India.

S. S. Chaudhari,
Raisoni Group of Institution, Maharashtra, India.

Trupati Balvir,
Department of Anatomy, Datta Meghe Medical College Wanadongri, Hingana, Nagpur, Maharashtra, India.

Please see the link here: https://stm.bookpi.org/TAER-V5/article/view/13295

Evaluating Wear Performance of Silicon Nitride-Hexagonal Boron Nitride Composite Using Taguchi Method | Chapter 1 | Research Aspects in Chemical and Materials Sciences Vol. 2

The goal of bio-tribology research is to determine which biomaterials will wear the least. Recently, silicon nitride (Si3N4) has been suggested as a substitute material for hip and knee joint replacement. Hexagonal boron nitride can be used to improve Si3N4's wear characteristics (hBN).

Methods/Analysis: In order to reduce wear loss, this study evaluates the sliding wear behaviour of Si3N4-hBN composite against alumina and steel (ASTM 316L). The impact of hBN addition on Si3N4 wear performance was investigated. The trials were designed using the Design of Experiments (DoE) - orthogonal array Taguchi approach to assess the impact of the addition of hBN on the silicon nitride material's wear properties.

Findings: Taguchi analysis recommends 15N load and 8 percent volume of hBN against alumina and 15N load and 12 percent volume of hBN against steel to reduce Si3N4 wear loss. The relationship between load and hBN addition has a significant impact on silicon nitride's wear resistance.

 

Author (s) Details

Sachin Ghalme

Department of Mechanical Engineering, Sandip Institute of Technology and Research Centre, Nashik (MS), India.

 

View Book :-  https://stm.bookpi.org/RACMS-V2/article/view/7625