A meshfree approach for the rennet-induced coagulation equation: Spline based multistage Bernstein collocation method and its convergence analysis

The initial phases of milk coagulation for cheese manufacturing can be tracked by an integro-differential equation known as a population balance equation. In this article, a new analytical approach using multistage Bernstein polynomials is presented to solve a rennet-induced coagulation equation for the first time. The existence of the solution and convergence analysis of the proposed approach are discussed in detail to support the mathematical formulation. Our main interest is in computing the integral moments, such as the number and total volume/mass of casein micelles over time. These moments are evaluated by approximating them with the linear combinations of Bernstein polynomials that involve unknown coefficients. Furthermore, the unknown coefficients are determined by selecting an appropriate number of collocation points, based on the considered time span of the process. To test the accuracy and efficiency of the new approach, the new analytical solutions for the integral moments are obtained for constant, sum and product coagulation kernels and results are verified by comparing with the existing finite volume scheme and Picard's method. • A meshfree method is proposed to solve a rennet-induced coagulation equation. • Existence of the solution and convergence analysis are discussed. • The new approach is robust and applicable to any coagulation kernel. • New solutions are verified against the finite volume scheme and Picard's method.

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Publication Details

Journal
Applied Mathematical Modelling
Published
2025-02-22
DOI
https://doi.org/10.1016/j.apm.2025.116035
Citations
5
Primary Topic
Numerical methods in engineering
Type
article
Field-Weighted Citation Impact
4.32
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A meshfree approach for the rennet-induced coagulation equation: Spline based multistage Bernstein collocation method and its convergence analysis

Mehakpreet Singh, Jitendra Kumar, Nikhil Sriwastav, Orest Shardt et al.
5 citations
Applied Mathematical Modelling
Numerical methods in engineering
4.32
article

A meshfree approach for the rennet-induced coagulation equation: Spline based multistage Bernstein collocation method and its convergence analysis

Mehakpreet Singh, Jitendra Kumar, Nikhil Sriwastav, Orest Shardt, Ashok Das
article en
5 citations

Abstract

The initial phases of milk coagulation for cheese manufacturing can be tracked by an integro-differential equation known as a population balance equation. In this article, a new analytical approach using multistage Bernstein polynomials is presented to solve a rennet-induced coagulation equation for the first time. The existence of the solution and convergence analysis of the proposed approach are discussed in detail to support the mathematical formulation. Our main interest is in computing the integral moments, such as the number and total volume/mass of casein micelles over time. These moments are evaluated by approximating them with the linear combinations of Bernstein polynomials that involve unknown coefficients. Furthermore, the unknown coefficients are determined by selecting an appropriate number of collocation points, based on the considered time span of the process. To test the accuracy and efficiency of the new approach, the new analytical solutions for the integral moments are obtained for constant, sum and product coagulation kernels and results are verified by comparing with the existing finite volume scheme and Picard's method. • A meshfree method is proposed to solve a rennet-induced coagulation equation. • Existence of the solution and convergence analysis are discussed. • The new approach is robust and applicable to any coagulation kernel. • New solutions are verified against the finite volume scheme and Picard's method.

Applied Mathematical ModellingVol. 143
Indian Institute of Technology Ropar (IN), Indian Institute of Technology Dhanbad (IN), University of Limerick (IE)
Zero hunger
Openalex Percentile: Top 6%
Numerical methods in engineering
4.32
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