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All Journal Jurnal Pendidikan Fisika Indonesia EMITTER International Journal of Engineering Technology
Kasim, Mohd Shahir
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Computer Science & IT Education Physics

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Approximative Relationship Between The Energy Function (E) and Hubble Function (H) in Cosmology: Practical and Theoretical Analysis Sahroni, Taufik Roni; Pandara, Dolfie Paulus; Wibowo, Arnowo Hari; Alatif, Yahya Halim; Wardana, Febriansyah; Kasim, Mohd Shahir; Siagian, Ruben Cornelius
Jurnal Pendidikan Fisika Indonesia Vol 20, No 1 (2024)
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpfi.v20i1.43488

Abstract

This research delves into the approximate relationship between the energy function (E) and the Hubble function (H) within cosmological. Utilizing the Friedmann equation, it establishes a link between the universe's scale factor and the Hubble function. Through Taylor series approximation, the study derives an approximation of the energy function, under specific assumptions and approximations. Asymptotic analysis investigates the behavior of variables y and s, shedding light on function limits and behaviors. The study incorporates an interactive 3D scatter plot visualization to elucidate the relationship between cosmological parameters and physical systems, aiding in a comprehensive understanding of dynamics. Practical recommendations emphasize increasing data points for accuracy and validating with observational data, while theoretical suggestions advocate exploring higher-order terms and considering additional physical factors.
Enhancing the Productivity of Wire Electrical Discharge Machining Toward Sustainable Production by using Artificial Neural Network Modelling Mohd Zakaria, Muhammad Akmal; Raja Abdullah, Raja Izamshah; Kasim, Mohd Shahir; Ibrahim, Mohamad Halim
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (64.638 KB) | DOI: 10.24003/emitter.v7i1.365

Abstract

Sustainability plays an important role in manufacturing industries through economically-sound processes that able to minimize negative environmental impacts while having the social benefits. In this present study, the modeling of wire electrical discharge machining (WEDM) cutting process using an artificial neural network (ANN) for prediction has been carried out with a focus on sustainable production. The objective was to develop an ANN model for prediction of two sustainable measures which were material removal rate (as an economic aspect) and surface roughness (as a social aspect) of titanium alloy with ten input parameters. By concerning environmental pollution due to its intrinsic characteristics such as liquid wastes, the water-based dielectric fluid has been used in this study which represents an environmental aspect in sustainability. For this purpose, a feed-forward backpropagation ANN was developed and trained using the minimal experimental data. The other empirical modelling techniques (statistics based) are less in flexibility and prediction accuracy. The minimal, vague data and nonlinear complex input-output relationship make this ANN model simple and perfects method in the manufacturing environment as well as in this study. The results showed good agreement with the experimental data confirming the effectiveness of the ANN approach in the modeling of material removal rate and surface roughness of this cutting process.
Co-Authors Alatif, Yahya Halim Ibrahim, Mohamad Halim Mohd Zakaria, Muhammad Akmal Pandara, Dolfie Paulus Raja Abdullah, Raja Izamshah Sahroni, Taufik Roni Siagian, Ruben Cornelius Wardana, Febriansyah Wibowo, Arnowo Hari