Modeling and multi-response optimization of pressure die casting process using response surface methodology

Kittur, Jayant K.; Choudhari, M. N.; Parappagoudar, Mahesh B.

doi:10.1007/s00170-014-6451-x

Cited by 34 publications

(9 citation statements)

References 25 publications

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“…Third, it is recommended that the design points are not directly specified, and to better scatter the design points, rigorous statistical procedures such as central composite design (CCD) or Taguchi must be employed. 36 This is important since the DOE framework involves expanding a finite number of experiments to considerable numbers. Even though the user can select his test experiments, the considered conditions might not be qualified to represent all the possible aspects of the flow.…”

Section: Methodsmentioning

confidence: 99%

Minimizing the COVID-19 spread in hospitals through optimization of ventilation systems

et al. 2022

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The rapid spread of SARS-CoV-2 virus has overwhelmed hospitals with patients in need of intensive care, which is often limited in capacity and is generally reserved for patients with critical conditions. This has led to higher chances of infection being spread to non-COVID-19 patients and healthcare workers and an overall increased probability of cross contamination. The effects of design parameters on the performance of ventilation systems to control the spread of airborne particles in intensive care units are studied numerically. Four different cases are considered, and the spread of particles is studied. Two new criteria for the ventilation system—viz., dimensionless timescale and extraction timescale—are introduced and their performances are compared. Furthermore, an optimization process is performed to understand the effects of design variables (inlet width, velocity, and temperature) on the thermal comfort conditions (predicted mean vote, percentage of people dissatisfied, and air change effectiveness) according to suggested standard values and the relations for calculating these parameters based on the design variables are proposed. Desirability functions that are comprised of all three thermal condition parameters are used to determine the range of variables that result in thermally comfortable conditions and a maximum desirability of 0.865 is obtained. The results show that a poorly designed ventilation system acts like a perfectly stirred reactor—which enormously increases the possibilities of contamination—and that when air is injected from the ceiling and extracted from behind the patient beds, the infection spread is least probable since the particles exit the room orders of magnitude faster.

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Section: Methodsmentioning

confidence: 99%

Minimizing the COVID-19 spread in hospitals through optimization of ventilation systems

et al. 2022

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“…[10] Kittur et al optimized the pressure die casting process parameters such as injection pressure, fast-shot velocity, phase-changeover point and holding time for improving porosity, surface roughness and hardness by desirability function approach. [11] Mohiuddin et al optimized the process parameters for improving the density, ultimate tensile strength and percentage elongation for Al7SiMg alloy castings by Taguchi method. [12] Apparao et al optimized five die casting process parameters such as injection pressure, molten metal temperature, plunger velocities at first and second stages, and die temperature for improving the density of A380 alloy casting by using quality function deployment and Taguchi method.…”

Section: Introductionmentioning

confidence: 99%

High-pressure die casting process optimization for improving shrinkage porosity and air entrainment in carburetor housing with aluminum alloy using Taguchi-based ProCAST simulation and MADM-based overall quality index

Kim,

Hong,

Yang

et al. 2024

Int J Adv Manuf Technol

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Many practical high pressure die casting process (HPDCP) optimization problems are multi-objective optimization ones that optimize multiple quality attributes of castings. This paper proposes a new HPDCP optimization method for improving shrinkage porosity and air entrainment using Taguchi-based ProCAST simulation and multi-attribute decision making (MADM)-based overall quality index. Taguchi orthogonal array is used to design ProCAST simulation experiment. MADM is used to convert multiple quality attributes into a single overall quality index (OQI). Taguchi optimization method is used to determine optimal HPDCP parameters to maximize the OQI. By using the proposed method, this paper determines the optimal HPDCP parameters such as pouring temperature (PT), filling rate (FR), piston velocity (PV) and preheating mold temperature (PMT) for improving volume of shrinkage porosity (VSP) and air entrainment (AE) in carburetor housing with aluminum alloy AlSi9Cu1Mg. The optimal HPDCP parameters are PT of 640 o C, FR of 40 %, PV of 6.5 m/s, and PMT of 150 o C. The PT is the most effective HPDCP parameter for improving the VSP and AE, and the next are FR, PV and PMT. The proposed method could be actively applied to not only HPDCP but also other casting processes and other manufacturing processes.

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“…The Taguchi method primarily uses engineering judgment to decide optimal factor levels for multi-responses, which increases uncertainty during the decision-making process [4]. The study has been done by Kuttur [5] where he Model and multi-response optimization of pressure die casting process using Taguchi method by response surface methodology approach. In his study, the process parameters, namely, fast shot velocity, injection pressure, phase change-over point, and holding time have been considered as the input to the model.…”

Section: Introductionmentioning

confidence: 99%

Fill Time Analysis of 8 Cavities Parison Mould using Taguchi Method

Suriani Rizal,

Jumahat*,

Mohamad Nor

2020

IJITEE

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In the plastic injection molding process, the optimization of the process parameters is a complex task. This paper presents the optimum conditions of the injection process for 8 cavities mold for 20g parison filled with Polyethylene Terephthalate (PET) by utilizing the Taguchi method. In the Taguchi method, the performance parameter is assumed to be the optimal parameter for injection molding process. An L16 (43) orthogonal array is considered as an experimental plan for the design parameters as suggested in Minitab version. The objective of this study is to propose an approach for efficiently optimizing injection molding parameter, i.e. fill time, with three different outputs, i.e. melting temperature, runner size and mold temperature. The illustrative application and comparison of results show that the proposed methodology outperforms the existing methods and can help injection molding process to efficiently and effectively identify optimal fill time process parameter. The result indicates the best performance for the highest contribution for each respond. This is due to the interaction of factors and it also gives the percentage contribution with 95% confidence level. The analysis using the Taguchi method showed the optimized fill time. The results show that the optimal parameters for the fill time during injection process of 8 cavities mold 20g parison is A1B1C4.

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Modeling and multi-response optimization of pressure die casting process using response surface methodology

Cited by 34 publications

References 25 publications

Minimizing the COVID-19 spread in hospitals through optimization of ventilation systems

Minimizing the COVID-19 spread in hospitals through optimization of ventilation systems

High-pressure die casting process optimization for improving shrinkage porosity and air entrainment in carburetor housing with aluminum alloy using Taguchi-based ProCAST simulation and MADM-based overall quality index

Fill Time Analysis of 8 Cavities Parison Mould using Taguchi Method

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