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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Civil Engineering Journal
Qudsiyyatul Lailiyah
Institut Teknologi Sepuluh Nopember (ITS)
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering

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Glow-Wire Analysis of Polypropylene Blends for Mechanical and Marine Engineering Applications Firdaus, Himma; Supono, Ihsan; Pratama, Anandito Adam; Istanto, Iwan; Prabowo, Aditya Rio; Kusnandar, Nanang; Kasiyanto, Iput; Wijaya, Rahman; Lailiyah, Qudsiyyatul; Budiana, Eko Prasetya; Yaningsih, Indri; Akbar, Hammar Ilham; Imanullah, Fahmi
Civil Engineering Journal Vol. 11 No. 7 (2025): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-07-018

Abstract

Polymer materials are widely used due to their versatility; however, their vulnerability to fire is a significant concern, especially under electrical influences on engineered mechanical designs and marine structure applications. This study examines the fire resistance of a polypropylene (PP) blend using Glow-Wire Flammability Index (GWFI) and Glow-Wire Ignition Temperature (GWIT) tests. While previous research typically relies on flame-retardants to address flammability, this work proposes using a simple 1:1 weight ratio blend of two distinct PP types. This specific PP blend was selected to provide balanced material properties and improved processing consistency. The results from glow-wire tests were compared with previous findings to evaluate flammability performance. Our findings reveal that although the PP blend offers enhanced fire resistance compared to neat PP, it remains inferior to PP-containing flame-retardant additives. The outcomes suggest that this blended PP may be suitable for applications where mechanical properties, cost-effectiveness, and recyclability precede fire resistance, such as engineered automotive interiors, mechanical design of marine transportation, and low-risk electrical components in engineering infrastructure. This initial research contributes valuable insights into the fire behavior of PP blends. Moreover, it establishes a foundation for future investigations into polymer fire resistance, encouraging additional glow-wire testing on other polymer systems.
Advanced Control for Quadruple Tank Process Kasiyanto, Iput; Firdaus, Himma; Lailiyah, Qudsiyyatul; Kusnandar, Nanang; Supono, Ihsan
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i1.27124

Abstract

In the realm of control systems, the last three decades have witnessed significant advancements in model predictive control (MPC), an advanced technique renowned for its ability to optimize processes with constraints, handle multivariate systems, and incorporate future references when feasible. This paper introduces an innovative offset-free MPC approach tailored for the control of a complex nonlinear system—the quadruple tank process (QTP). The QTP, known for its deceptively simple yet challenging multivariate behavior, serves as an ideal benchmark for evaluating the efficacy of the proposed algorithm. In this work, we rigorously compare the performance of the PID and MPC controller when applied to both linear and nonlinear models of the QTP. Notably, our research sheds light on the advantages of MPC, particularly when confronted with constant disturbances. Our novel algorithm demonstrates exceptional capabilities, ensuring error-free tracking even in the presence of persistent load disturbances for both linear and nonlinear QTP models. Compared to the PID control, the proposed method can reduce the overall set point tracking error up to 32.1%, 27.6%, and 38.54% using the performance indices ISE, ITAE, and IAE, respectively, for the linear case. Furthermore, for the nonlinear case, the overall set point tracking error reduction is up to 93.4%, 94.9%, and 91.5%. This work contributes to bridging the gap in effective control strategies for nonlinear systems like the QTP, highlighting the potential of offset-free MPC to enhance control and stability in a challenging process industry involving automatic liquid level control.
Co-Authors Aditya Rio Prabowo Akbar, Hammar Ilham Budiana, Eko Prasetya Himma Firdaus Imanullah, Fahmi Indri Yaningsih Iput Kasiyanto Istanto, Iwan Kasiyanto, Iput Kusnandar, Nanang Pratama, Anandito Adam Supono, Ihsan Wijaya, Rahman