Rate-Dependent Elasto-Viscoplastic Constitutive Model for Industrial Powders. Part 1: Parameter Quantification

Mittal, Bhavishya; Puri, Virendra M.

doi:10.1080/02726350590955895

Cited by 9 publications

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“…Clearly, the compression profiles of alumina powder were very repeatable, i.e., the coefficient of variation (COV) values were below 8% in all cases. As evident from Figure 2, the compression profile of alumina powder was nonlinear at all compression rates and similar to the compression profile of MZF powder as shown in Mittal and Puri (2005). Also, as the compression rate increased, the volumetric strain corresponding to a given pressure decreased.…”

supporting

confidence: 64%

“…The hysteresis loops in the compression profiles are deleted to maintain clarity (Mittal & Puri, 2005). Each compression profile in Figure 2 is a seven-point moving average from three replicates at the same …”

Section: Htc Tests Results: Compression Profilesmentioning

confidence: 99%

“…Some of the characteristic properties of alumina are listed in Table 1. The methodology of the experiments performed on alumina powder is same as that of the MZF powder given in Mittal and Puri (2005).…”

Section: Experimental Methodologymentioning

confidence: 99%

“…The general procedure to quantify the PSU-EVP constitutive model's parameters was established and discussed in Part 1 (Mittal & Puri, 2005). Specific results were shared for an industrial powder, namely, Mn Zn ferrite (MZF) powder in Part 1.…”

Section: Introduction and Scopementioning

confidence: 99%

“…This trend was also observed in the case of MZF powder, thereby clearly demonstrating that compression rate does affect the compressibility of powders. Explanation of compression rate effect for MZF powder given in Mittal and Puri (2005) also applies to alumina powder.…”

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Rate-Dependent Elasto-Viscoplastic Constitutive Model for Industrial Powders. Part 2: Model Evaluation

Mittal

Puri

2006

Particulate Science and Technology

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The PSU-EVP model's constitutive parameters for alumina powder are presented. The PSU-EVP model was also used to back-predict the triaxial test data obtained for MZF and alumina powders using constitutive parameters such as the initial voids ratio (e 0 ), compression index (k), and spring-back index (j). In the case of MZF powder, 8 out of 12 back-prediction cases had average relative difference (ARD) values below 20%. In the case of alumina powder, 7 out of 11 back-prediction cases had ARD values below 20%. Based on the back-prediction results, it was concluded that the PSU-EVP model gave fairly good results for most triaxial test data collected at 0.62 MPa=minute and 6.21 MPa=minute. However, the back-prediction results obtained at 20.7 MPa=minute had high ARD values. A sensitivity analysis was done to study the effect of changes in parameter values on the hydrostatic triaxial compression (HTC) and conventional triaxial compression (CTC) backprediction results. From the sensitivity analysis, AE 10% (standard deviation variation from AE 0.8r to AE 2.3r) changes in k and e 0 mean values had marked effect on the HTC results. However, changes in the k, j, and e 0 mean values do not produce any noticeable effect on the CTC prediction results. Overall, the PSU-EVP model can be considered to be the first step towards the development of a more robust and accurate model for prediction of stresses and strains in a dry powder compression process.

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supporting

confidence: 64%

Section: Htc Tests Results: Compression Profilesmentioning

confidence: 99%

Section: Experimental Methodologymentioning

confidence: 99%

Section: Introduction and Scopementioning

confidence: 99%

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