Automotive Engineering Research Articles

Monarch butterfly optimization based energy management system for electric vehicle with interleaved landsman converter

The toxic emissions from combustion engine cars and businesses using fossil fuels have steadily increased over time in today's world of expanding needs and urbanization. Due to some advantages over vehicles with traditional engines, using electric vehicles is the most well-liked and successful alternative. The performance of electric cars is significantly influenced by an energy management system (EMS). In this study, a multifunctional power electronic interface capable of using two sources simultaneously throughout the charging process monarch butterfly optimization (MBO) based EMS for plug-in electric vehicles (PHEV) has been developed. The battery can be charged from the grid or solar photovoltaic (SPV), depending on the need. This study designs an electric vehicle (EV) charging system that uses an interleaved landsman converter followed by a flyback converter. As a result, the suggested converter helps in improving battery safety as well as user safety for the vehicle. The proposed control technique is simulated using system models created with MATLAB/Simulink. The outcomes of the simulation demonstrate that the devised technique offers better control in terms of vehicle stability. A number of simulations are run to evaluate the efficiency and performance of the proposed approach.

Enhanced spray-wall interaction model for port fuel injection under medium load conditions

Abstract This study presents an Eulerian-Lagrangian framework for the numerical analysis of spray dynamics, with a focus on droplet movement, spray-wall interactions, and the effects of varying injection parameters associated with port fuel injection (PFI) system. A grid-independent criterion is introduced to optimize mesh analysis for accurate predictions of fuel penetration length. The size distribution of secondary droplets is described using a probability density function, and statistical optimization is subsequently implemented to estimate their mean size. This probabilistic approach enhances the Lagrangian wall film (LWF) model, leading to accurate predictions of the Sauter mean diameter (SMD) at a given radial width ( $$R_\text{{w}}$$ R w ), with results closely matching experimental data. For $$8.0 ~\text {mm} \le R_\text{{w}} \le 24.0 ~\text {mm}$$ 8.0 mm ≤ R w ≤ 24.0 mm , the maximum SMD of 21.67 $$\mu$$ μ m corresponds to $$R_\text{{w}} = 14.0, \text {mm}$$ R w = 14.0 , mm , while the smallest SMD of 12.68 $$\mu$$ μ m is computed for a radial position of $$R_\text{{w}} = 24.0 ~\text {mm}$$ R w = 24.0 mm . The numerical investigation quantifies the role of spray-wall interactions in determining the trajectory of fuel distribution, particularly in the formation of wall films and the relative spatio-temporal diesel concentration (F/A) %. The study explores aspects such as droplet size variations, heat transfer during evaporation, and film behavior under different injection pressures, providing insights into the multiphysical characteristics of spray-wall systems. Near the impingement site ( $$2.0 ~\text {mm} \le R_\text{{w}} \le 4.0 ~\text {mm}$$ 2.0 mm ≤ R w ≤ 4.0 mm ), the plume height ( $$H_\text{{w}}$$ H w ) slightly decreases with an increase in injection pressure. While the CFD methodology in this current work has been primarily developed for automotive engineering sector (PFI engines), it also has potential applications in areas such as additive manufacturing, hydropower engineering, climate science, and environmental engineering.

Review on Principal and Applications of Temporal and Spatial Beam Shaping for Ultrafast Pulsed Laser

Ultrafast or ultrashort pulsed lasers have become integral in numerous industrial applications due to their high precision, non-thermal interaction with materials, and ability to induce nonlinear absorption. These characteristics have expanded their use in microfabrication, semiconductor processing, automotive engineering, and biomedical fields. Temporal pulse shaping reduces laser pulse durations, often to shorter timescales than many physical and chemical processes, enabling greater control. Meanwhile, spatial shaping improves efficiency and precision in micro- and nanofabrication and biomedical applications. Advances in optical parametric amplifiers (OPAs) and chirped-pulse amplifiers (CPAs) have allowed for more refined temporal and spatial shaping, ensuring the preservation of high peak power while achieving ultrashort pulse durations. Additionally, spatial light modulators (SLMs) have facilitated sophisticated beam shaping, which, when combined with ultrafast lasers, supports applications like computer-generated holography and nanoscale fabrication. These developments underscore the growing utility and versatility of ultrafast lasers in both research and industrial contexts.

Structural and morphological behavior of Al-based hybrid composites reinforced by SiC and WS2 inorganic material

Abstract Aluminum-based composites exhibit significant potential in automotive engineering, especially in engine components, with potential to improve efficiency and lifespan. The potential and usability of developing high-performance aluminum-based hybrid composites with silicon carbide and tungsten disulfide for automotive applications were investigated in the present study. This study investigates a novel aluminum-based hybrid composite, incorporating 10 wt.% SiC and varying WS2 concentrations (0–12 wt.%). WS2 addition reduces friction, enhancing engine efficiency and lifespan. The structural and morphological features with mechanical behavior of the hybrid composites manufactured via powder metallurgy were examined. X-ray diffraction (XRD) and scanning electron microscopy (SEM) analysis reveals the phase identification with topographical features. Microstructural analysis reveals uniform SiC distribution and WS2 clustering at aluminum grain boundaries. Microhardness increases from 52.86 ± 1.264 HV to 71.12 ± 2.175 HV with increase in WS2 (1–9 wt.%). Wear decreases from 70.56 to 8.48 μm, indicating better lubrication. After 120 h, corrosion rates drop from 0.041 to 0.013 mm a−1 with WS2 (up to 9 wt.%). The research findings suggest that with addition of WS2 and SiC improves corrosion resistance and hardness, minimizing wear.

Pengaruh Tipe Mobil Terhadap Harga dan Kapasitas Mesin di Belarus Dengan Pendekatan Metode Manova

Belarus is a country on the European Continent that continues to develop modern technology, especially in the field of the transportation industry. Supported by people's consumption patterns that tend to be consumptive where the demand for goods can affect the country's economy if not controlled properly, one of which is the use of cars. The high interest of the public in the use of cars is influenced by the design of the body type. Body type plays an important role in determining consumer preferences. The design of the car body type also affects the selling price. Engine capacity is also closely related, where larger vehicles typically have larger tanks. Therefore, it is important to analyze the influence between car body type and price and car engine capacity in Belarus using the multivariate analysis of variance (MANOVA) method. Data analysis starts from describing the characteristics of variables, then conducting MANOVA assumption testing starting from multivariate normality testing with Q-Q plot and T-proportion test, independence correlation test test with barlet test, and homogeneity test with box's m test. Followed by the MANOVA test on the body variable on the price and capacity of the car engine and after that the LSD test. The results of the price characteristics and the capacity of the car engine were obtained by one and two outliers, respectively, and the shape of the boxplot was asymmetrical The most observed type of car was the universal type. The results of the MANOVA assumption test show that the data is normally distributed multivariate, dependent, and has a homogeneous covariance variance matrix. The results of the MANOVA test show that there is at least one type of car that has a significant influence on the price and capacity of the car engine. The LSD test results show the type of car based on the price of the car that there is no difference between the average car type 1, 2, 3, 4.

Integration of Mobile Learning in Rifdarmon Model to Improve Student Learning Outcomes

Mobile learning utilizes mobile technology, such as smartphones, tablets, and other mobile devices, to facilitate a flexible and collaborative learning process. This research aims to implement the integration of mobile learning into the Rifdarmon model in the learning process and evaluate the effectiveness of mobile learning integration into the Rifdarmon model in improving student learning outcomes in the Sensors and Transducers course. This research uses a quantitative approach with an experimental method. The subjects in this study are active students in the Automotive Engineering Department of Padang State University taking the Sensors and Transducers course. The sampling technique used is cluster random sampling, where the researcher randomly selects two classes, the control and experimental classes. Then all students in the selected clusters become the sample. The data in this study were collected based on the pre-test and post-test scores obtained by students in the Sensors and Transducers course. Based on the results and discussion, the implementation of mobile learning integration into the Rifdarmon model in the learning process was successfully carried out in this research. There was a significant increase in learning outcomes for students after following the learning process, both with the conventional learning model (control class) and mobile learning integration into the Rifdarmon model (experimental class).

Aspects of heat transfer hybridized micropolar water-based iron oxide and silver nanoparticles across a stretching bidirectional sheet with thermal radiation

The hybridization of nanoparticles enhances heat transfer, playing a crucial role in the development of advanced thermal insulation materials. These materials find applications across diverse fields, including electronics design, healthcare, environmental remediation, and automotive engineering. In light of this, the current study investigates the boundary layer flow and heat transfer of hybridized (Fe3O4−H2O) and (Ag−Fe3O4−H2O) micropolar nanofluids over an extending bidirectional sheet characterized by nonlinear thermal radiation. The boundary heating conditions are based on two types of thermal settings in the energy equation: prescribed surface temperature (PST) and prescribed heat flux (PHF). The resulting partial differential equations are then converted into ordinary differential equations using specific similarity variables. The mathematical equations are solved using the Chebyshev Collocation Method (CCM). Consequently, a variety of graphs and tables are displayed to deliberate the impact of the emerging parameters on the flow and heat transmission processes. At the end, the analysis reveals that an increase in the temperature gradient is higher in a non-isothermal situation as compared to an isothermal case with growth in the Prandtl number. The material property helps to reduce surface drag and heat transfer, whereas the magnetic field increases the skin friction coefficient.

Performance of Steel Beams reinforced by CFRP Sheets with Fire-Retardant Coating

The objective of this study was to determine the physical, mechanical, and chemical aspects of bonding and priming Fire-Retardant Coatings (FRCs) to steel surfaces before and after fire testing. Carbon Fiber Reinforced Polymers (CFRP) have been used to strengthen steel components. Certain types of polymer systems have demonstrated high fire retardancy without additives, while others require additives to achieve optimum fire resistance. A wide range of compounds are available to enhance the fire retardant properties of these materials, characterized by their chemical nature and behavior (such as halogenated, metal complex, silicon-based, and phosphorus additives) and mode of action (either condensed or gas-phase active systems).This article provides a comprehensive overview of fire retardant additives for CFRP used in various large-scale applications, including the aerospace, automotive, railway, electronics, and civil engineering industries, as well as their fire retardant mechanisms at the microscopic, macroscopic, and nanoscale levels. In addition to fire retardant properties, this study also discusses the effects of additives on other material parameters and coatings, such as glass transition temperature, mechanical performance, and FRP processability. The primary focus is on thermoset systems, with a brief mention of thermoplastics according to the matrix compounds relevant to the FRP market size. Test results show that the direct velocity ultrasonic value varied between 3.016 and 3.618 km/s, giving an estimated compressive strength of 15.974 MPa. The standard deviation was 0.533 km/s with a relative standard deviation of 16.407%.

Experimental and numerical investigation on fatigue behavior of PUR (rigid polyurethane) elastomers 90ShA used in automotive engineering

For mechanical automobiles, elastomers are regarded as a common vibration damping material. The most widely used components are made of rubber, mostly because of their cost. PUR (rigid polyurethane) compounds are alternatives. This study presents the findings from studies on polyurethane materials in a specific hardness configuration. The hardness and fatigue tests received the most attention, and more crucially, the impact of the hardness value achieved on fatigue was investigated using both experimental and numerical methods. It was shown how a material with a specific stiffness, defined as 90ShA hardness, behaved significantly. All of the outcomes were contrasted with those of competitive materials, such rubbers, which had comparable hardness. PUR consistently demonstrated substantial fracture toughness.

From Exhaust to Extraction: Evaluating Car Catalysts Waste for a Resilient Economy

Spent Automotive Catalytic Converters (SACC) are comprised of a support (a honeycomb ceramic structure) coated with a catalytic layer, where Platinum Group Elements (PGE), especially Pt and Pd, facilitate oxidation and reduction reactions to reduce hazardous emissions from car engines. This study provided information about various measurement procedures and principles for characterising SACC, revealing that SACC can release Potentially Toxic Elements (PTE) under environmental conditions. The SACC samples used primarily contain cordierite and moissanite, likely distinguishable upon visual inspection of waste piles. Unlike geological samples, the SACCs samples, considered as a homogeneous matrix, exhibit major elements such as Al, Si, Mg, and Ba, with minor elements including P, Na, Ca, Fe, Ti, Ce, and Zr, posing challenges for geoanalysts and environmental managers. Sequential extraction demonstrated high concentrations of PGE in the residual phase, especially Pt, Pd, and Rh. All other fractions, oxidisable, reducible and exchangeable, showed significant analytical recoveries of PTE such as Zn, Cu, and other trace elements. Watering bulk samples resulted in exceeded reference thresholds, with high Cd, Ni, and Zn, identifying SACC as a potentially hazardous materials. Toxicity tests on three aquatic species (A. fischeri, R. subcapitata, and D. magna) indicated both acute and chronic effects, further highlighting the need for proper waste management. The characterisation approach suggested here can help define the most appropriate SACC treatment demonstrating economic profit and ecological benefits.

Influence of gaseous dielectrics on the wettability of Al-6061 alloy using dry μ-electrical discharge milling

Superhydrophobic surfaces are essential for applications such as self-cleaning and corrosion resistance. This study explores the fabrication of superhydrophobic surfaces on Al-6061 alloy using dry micro electrical discharge milling (μEDM milling) and investigates the effects of gaseous dielectrics on wettability under atmospheric conditions. Surfaces machined in an oxygen environment showed a surface area roughness (Sa) of 4.68 μm, 73.3 % higher than those machined in argon, attributed to enhanced metal oxide formation. Energy Dispersive X-ray Analysis (EDAX) indicated a significantly elevated O/Al atomic ratio of 0.80 for oxygen-machined samples, which was 73.9 % greater than argon-machined samples, suggesting the presence of hydrophilic compounds such as AlO(OH) and Al2O3. Additionally, X-ray Photoelectron Spectroscopy (XPS) revealed that Al2O3 peaks on oxygen-machined surfaces were broadened and shifted to higher binding energies, correlating with decreased contact angles and increased surface hydrophilicity. These results suggest that using oxygen as a dielectric in theelectrical discharge machining (EDM) process promotes oxide layer formation, resulting in hydrophilic characteristics, while machining in argon encourages organic adsorption and greater hydrophobicity. The findings of this research provide insights that can inform future efforts to tailor surface properties for advancements in aerospace, automotive, and biomedical engineering applications.

Wear Analysis of Polymer Brake Pads Using Non-Destructive Testing Techniques

The research investigates the wear characteristics of polymer and composite brake pads like aramid fibers, potassium titanate, and phenol formaldehyde resin, which are crucial for vehicle safety and performance. Non destructive testing (NDT) techniques, including spectroscopic methods and particle size distribution analysis, are employed to assess brake pad materials' durability without compromising component integrity. The study highlights the role of NDT in understanding friction material behavior, as well as recent developments and challenges in NDT methods like dynamometer noise measurement. It underscores the environmental benefits of integrating natural fibers in brake pads and the advancements in NDT technologies, such as ultrasonic scanning and laser-based techniques, which enhance brake system safety and efficiency. The research emphasizes the need for continuous innovation and adherence to quality standards in automotive engineering to develop more advanced and sustainable braking systems. Such investigations not only enhance our understanding of the behavior of materials under various types of stresses but also pave the way for further improvements in the performance and sustainability of brake pads.

Music Educational Resources Integration, Teaching Strategies, and Innovative Approaches in Chinese Art Colleges and Universities

This study assessed the level of tolerance of ambiguity of non-English majors to cope with complex, incomplete, uncertain, and unknown context in English reading, which significantly influenced their reading strategies and ability. The study employed a quantitative research method, and three survey questionnaires were used to identify tolerance of ambiguity, reading strategies and ability of 400 non-English major students from HUAT majoring in automotive engineering and in economics and management. The findings revealed a significant correlation between high tolerance of ambiguity and the use of effective reading strategies, such as prediction, inference, and summarization. Students with higher tolerance levels were found to be more adept at navigating ambiguous texts and extracting meaning from complex English materials. Moreover, these students demonstrated superior reading comprehension skills compared to their peers with lower tolerance levels. The study concluded that fostering tolerance of ambiguity should be an integral part of English language teaching for non-English majors. Teachers were encouraged to incorporate activities that enhanced students’ ability to handle ambiguity, thereby improving their reading strategies and overall English reading ability. This research contributed to the field of second language acquisition by providing empirical evidence of the role of tolerance of ambiguity in English reading ability among non-English major students in Chinese colleges. Based on the findings, an enhancement program was proposed to help Chinese non-English majors deal with reading ambiguity, help them better use in reading strategies and promote their reading ability in EFL reading learning.

Tolerance of Ambiguity, Reading Strategies and Ability of Chinese College Non-English Majors

This study assessed the level of tolerance of ambiguity of non-English majors to cope with complex, incomplete, uncertain, and unknown context in English reading, which significantly influenced their reading strategies and ability. The study employed a quantitative research method, and three survey questionnaires were used to identify tolerance of ambiguity, reading strategies and ability of 400 non-English major students from HUAT majoring in automotive engineering and in economics and management. The findings revealed a significant correlation between high tolerance of ambiguity and the use of effective reading strategies, such as prediction, inference, and summarization. Students with higher tolerance levels were found to be more adept at navigating ambiguous texts and extracting meaning from complex English materials. Moreover, these students demonstrated superior reading comprehension skills compared to their peers with lower tolerance levels. The study concluded that fostering tolerance of ambiguity should be an integral part of English language teaching for non-English majors. Teachers were encouraged to incorporate activities that enhanced students’ ability to handle ambiguity, thereby improving their reading strategies and overall English reading ability. This research contributed to the field of second language acquisition by providing empirical evidence of the role of tolerance of ambiguity in English reading ability among non-English major students in Chinese colleges. Based on the findings, an enhancement program was proposed to help Chinese non-English majors deal with reading ambiguity, help them better use in reading strategies and promote their reading ability in EFL reading learning.

The Influence of Problem-Solving Skills and Self-Efficacy on Learning Outcomes in Skills Concentration Subjects

This research is quantitative and aims to determine the impact of problem-solving skills and student self-efficacy on academic performance across various skill concentrations at SMK Negeri 1 Semen, Kediri Regency. The study focused on the subjects of Accounting (AKL), motorcycle engineering and business (TBSM), automotive light vehicle engineering (TKRO), and computer and network engineering (TKJ). Data collection involved questionnaires for assessing problem-solving skills and self-efficacy, while academic performance was measured through tests. The study included 185 students from all specialization concentrations at SMK Negeri 1 Semen, Kediri Regency. Data analysis utilized t-tests (partial test), f-tests (simultaneous test), and r2-tests or coefficient of determination tests. The research findings indicated that the significance level of the partial test for problem-solving skills was .002 < .050 and for self-efficacy was .003 < .050. The f-test revealed a significance value of .000 < .050. The results suggest that problem solving skills and self-efficacy significantly impact student academic performance across all skill concentrations, both individually and collectively.

Design and optimization of TPMS-based heterogeneous metastructure for controllable displacement field

Lightweight structures with tailored mechanical properties are highly sought after in various engineering fields, including aerospace, automotive, and civil engineering. Mechanical metastructures, with their intricate microstructural designs, offer a promising route to achieve these desired properties. However, designing metastructures for specific applications, particularly those requiring precise control over local deformations (displacement fields) while maintaining overall stiffness, remains a significant challenge. This paper introduces a novel structural stiffness optimization strategy for TPMS-based heterogeneous metastructures. By carefully controlling the relative density, structural parameter, and rotation angle of the microstructure, the ability to achieve significant reductions in displacement in targeted regions while preserving overall structural stiffness is demonstrated. The effectiveness of the proposed method is verified through both numerical simulations and experimental validation. Results show a maximum displacement reduction of 42.51 % under uniaxial compression and 31.32 % under biaxial compression. Notably, in a case study focused on protecting sensitive components within satellite structural frames, the optimized design achieved a remarkable 70 % reduction in displacement, highlighting the potential of the method for real-world engineering applications.

Experimental Investigation of the Fatigue Behavior of Fiber-Reinforced Composites under Cyclic Loading Conditions

The research presented here aims to conduct a performance assessment of fiber-reinforced composites (FRC) under cyclic loading with emphasis on Glass fiber-reinforced polymer (GFRP) & Carbon fiber-reinforced polymers (CFRP). FRCs’ use in engineering applications is occasioned by the high strength-to-weight ratios despite the poor performance under cyclic loads. In the experiments conducted CFRP was found to more than double the fatigue life for similar applied stress compared to GFRP. The study also brings out the nature of damage in each composite where GFRP is seen to be more vulnerable to matrix crack, fiber breakage, and delamination which reduce its fatigue life. On the other hand, CFRP exhibits high stiffness and high strength, which can prevent further damage to the composite structure and increase Fatigue endurance ability. These observations imply the necessity of material choice in high-stress conditions and indicate the possibility of utilizing hybrid composites to achieve a satisfactory combination of cost and service life. The following findings of the investigation of this paper will thus be useful for the improvement of FRCs in aerospace, automotive, and civil engineering where durability due to cyclic loading is crucial. Further research should be aimed at considering the influence of temperature and moisture on FRC fatigue behavior to improve the corresponding reliability at various conditions.

Full-field measurements of high-frequency micro-vibration under operational conditions using sub-Nyquist-rate 3D-DIC and compressed sensing with order analysis

High-speed imaging is essential for high-frequency vibration measurement techniques that utilize images, such as digital image correlation (DIC). However, it poses challenges, including reduced displacement resolution due to decreased image resolution, increased measurement and calculation costs, and greater data volume. A previous method used compressed sensing to reconstruct time information from images captured with a high-resolution, low-speed camera, allowing high-frequency vibration measurements. However, this method was limited to steady vibrations since waveforms were reconstructed using the Fourier basis. In this study, order analysis is introduced into compressed sensing to measure operational vibrations, including rotation speed fluctuations, such as those in automobile engines. An out-of-plane vibration experiment on an aluminum plate confirmed the method’s accuracy in identifying mode shapes and displacement spectra of operational vibrations. The proposed method reconstructed vibrations (amplitude: several μm to several hundred μm, frequency: 33.3–133.2 Hz) using images captured at 10 fps. The modal assurance criterion (MAC) indicated 0.98 accuracy compared with finite element analysis. The mean squared error below 1 % compared to the frequency spectrum obtained with a laser Doppler vibrometer. Applied to automobile engine vibrations (amplitudes of a few μm), the method achieved errors under 2 % over a 1225 mm × 960 mm field of view. However, error increased for vibrations below the DIC displacement resolution. This method shows promise for analyzing vibrations in rotational machinery, such as engines and motors, through the full-field measurement of high-speed operational vibrations. In addition, the developed compressed sensing with order basis is expected to contribute to the advancement of the recovering missing signals and data compression.

Effect of Graphene Reinforcements on the Natural Frequencies of Metal Foams Sandwich Spherical Panels Situated on Kerr Elastic Foundation Considering Moisture Changes

The existing study examines the moisture-dependent vibrational behavior of a metal foam spherical panel that is positioned between two composite layers reinforced with graphene platelets (GPL). The Kerr foundation, a three-parameter elastic foundation, supports the model. Based on specified functionalities, the pores’ arrangement and the GPL dispersion throughout the core and face sheets, respectively, are taken into consideration. The Halpin–Tsai and extended rule of mixture micromechanical models are utilized to ascertain the face sheets’ effective hygromechanical property values. After the motion equations are determined, the frequencies are extracted using the analytical technique, which is particularly effective for shells with simply supported edges. The impacts of various influences on the natural frequencies are considered and addressed over the course of the inquiry. It is shown that natural frequencies drop with increasing porosity coefficient. Furthermore, a small amount of GPL is shown to have a strong reinforcing effect on the stiffness of the structure, hence enhancing natural frequencies. The outcomes of this investigation can be beneficial to a variety of industries such as aerospace, automotive, marine, and civil engineering, where spherical shells are commonly employed. Furthermore, the outcomes might function as a standard for subsequent research. These results not only advance the understanding of moisture effects on composite structures but also provide a foundation for future research aimed at optimizing material properties for specific applications. Additionally, this study offers practical insights for the design and manufacturing of more resilient and efficient spherical components in real-life engineering scenarios.

Influence of Coolant Additives and Core Geometry of Fin-Tube Automobile Engine Radiators on the Enhancement of Cooling Process Efficiency

The paper deals with the research on the influence of the shapes of tubes and fins of automobile engine radiators and ethylene glycol coolants of type G12 on the cooling process. This involves cross-flow without mixing of coolant and air. The circular tubes with straight fins are compared with flat tubes with corrugated fins at identical external dimensions of the radiators. The new coolant is compared with the used coolant (10 years of usage) and further with a mixture of the used coolant and the additive (coolant enhancer). The goal is to reduce the heat dissipation time during the cooling process. Forced air convection is generated by three fan variants with diameters ϕ400 mm, ϕ345 mm, and a pair of fans ϕ345 mm and ϕ290 mm. The radiator core with flattened tubes and corrugated fins achieved lower outlet temperatures of 0.35 °C, 1.56 °C, and 2.43 °C compared to circular tubes and straight fins when using the ϕ400 mm diameter fan, the fan pair, and the ϕ345 mm diameter fan, respectively. The addition of the coolant enhancer to the used and new G12 coolant, depending on the fan variant, caused the outlet temperature to decrease in the range of 0.64 °C to 1.47 °C and 0.55 °C to 1.65 °C, respectively. The fan cover is also important for efficient cooling. Refilling of the coolant enhancer in the used coolant ensured that the heat transfer properties were recovered.