This paper presents a comparative modeling and analysis of an induction furnace for melting aluminum (Al) and copper (Cu), focusing on their electromagnetic behavior and heating performance. The study employs ANSYS Maxwell software version 16.0 with the finite element method (FEM) to simulate eddy current generation, Joule heating, and current density distribution in the metallic workpieces. The effects of coil geometry, input current, and operating frequency (50–100 kHz) on heating efficiency and skin depth are investigated. Estimated heating times based on ohmic losses are provided, revealing significant differences between aluminum and copper due to their distinct electrical and thermal properties. The results demonstrate that higher frequencies concentrate heating near the surface, reducing skin depth, while copper exhibits more uniform heating than aluminum. These findings offer practical insights for optimizing induction furnace design and operation for different non-ferrous metals.

Sustainable metallurgical transformation of red mud via hydrogen-based reduction and electromagnetic heating

Multi-objective optimization design method for electromagnetic structure and heat dissipation of litz-wire high-frequency transformer

Study on the magnetic-thermal evolution and air cooling synergy of bevel gears: based on asynchronous multi-frequency electromagnetic heating

Indonesia’s reliance on subsidized Liquefied Petroleum Gas (LPG) for household cooking places a significant burden on the national energy subsidy budget and increases dependence on imported fossil fuels. As part of the clean energy transition strategy, the Indonesian government has promoted the conversion from LPG stoves to electric induction stoves. However, public acceptance and actual post-use experiences at the household level remain diverse and insufficiently examined empirically. This study aims to analyze public sentiment toward induction stove use based on post-adoption user reviews to identify factors that encourage interest and reveal existing adoption barriers. This study employs a machine learning–based sentiment analysis approach using primary data collected through open-ended questionnaires distributed to induction stove users. A total of 265 valid textual responses were analyzed. Text preprocessing was conducted using Python with the NLTK and Sastrawi libraries, including data cleaning, case folding, tokenization, stopword removal, stemming, and duplicate removal. Sentiment classification was performed using the Term Frequency–Inverse Document Frequency (TF-IDF) method and the Naive Bayes algorithm, while WordCloud visualization was applied to identify dominant keywords. The results indicate a relatively balanced sentiment distribution, with positive sentiment accounting for 33.6%, neutral sentiment 32.5%, and negative sentiment 34.0%. Positive sentiment is mainly associated with energy efficiency, safety, and ease of use, whereas negative sentiment is driven by concerns regarding initial costs and electricity dependence. Neutral sentiment reflects an evaluative phase among users. These findings provide empirical insights to support user-oriented policies and strategies for accelerating the sustainable adoption of induction stove technology in Indonesia’s clean energy transition.

The transition from LPG stoves to induction cookstove is an important part of efforts to decarbonize the household sector and achieve sustainable development in Indonesia. Although induction cookers offer potential environmental, social, and economic benefits, their adoption rate is still relatively limited. This study aims to identify and analyze the enablers and barriers to transitioning to induction cookers from a sustainability perspective, considering environmental, social, and economic dimensions. This study is based on a structured synthesis of empirical and conceptual findings from previous studies discussing the transition to electric cooking technology and clean cooking, with a focus on countries that have implemented this technology. The analysis was conducted to group and interpret the main enablers and barriers within the sustainability framework. The results of the study show that the main enablers of transition include energy efficiency and technological performance, perceived benefits of use, awareness of health and environmental risks, reliability of electrical infrastructure, and government policy and program support. Conversely, the dominant barriers include the high initial cost of the devices, the perceived high cost of electricity, limited household electricity capacity and reliability, cultural cooking habits and preferences, and strong dependence on LPG subsidies. This study concludes that the transition to induction cookers in Indonesia is still at a partial readiness stage and requires an integrated, inclusive, and sustainability-oriented policy approach to ensure fair and sustainable transition.

Design and Simulation of Electromagnetic Induction Heating Coil for Molding of Straw-Based Composites

Electrification is vital for building-sector decarbonization. This study used a life-cycle assessment that accounted for methane leakage to evaluate whether China's building electrification policies can yield net climate benefits. The study focused on residential electrification across regions, covering cooking, domestic hot water, and space heating. Results show that emissions from heating regions were 4 to 6.43 times higher than those in non-heating regions. Among heating regions, the lowest emissions came from gas-based systems (wall-hung gas boilers, gas water heaters, gas stoves), emitting 37.78% less than coal-based systems. Fully electrified systems (air-source heat pumps, induction cooktops) reduced emissions by 27.25% compared to coal scenarios but emitted 16.93% more than gas-based ones. Under the current coal-dominated power mix, electrification does not necessarily reduce overall building emissions. The study identifies grid emission intensity thresholds for electrification to be climate-positive and compares them to actual regional grid factors. Findings indicate that if electrification is implemented immediately, more than 59% of regions would see an increase in greenhouse gas emissions. Projections based on a cleaner energy mix suggest tailored electrification timelines are essential. This analysis supports strategic, region-specific electrification to help China achieve carbon neutrality.

Current aging-friendly interaction design risk assessment relies heavily on expert judgment and mean-based indicators, failing to capture elderly users’ behavioral nonlinear fluctuations, long-tail extreme risks, and temporal mutations resulting in unclear prudent boundaries for key parameters (size, spacing, font, feedback rhythm). A risk assessment model integrating non-parametric estimation, wavelet analysis, and prudence evaluation is proposed. Kernel density estimation constructs interaction behavior risk probability distributions; wavelet transform identifies temporal risk evolution; Value-at-Risk (VaR) establishes prudent boundaries; Monte Carlo simulation minimizes risk in design parameter space. Empirical tests were conducted on 20 elderly participants using an induction cooker’s intelligent touch interface, collecting interaction data across parameter combinations. The model effectively identifies high-risk design zones. Recommended parameters (button width ≥ 16 mm, font size ≥ 14pt, response delay ≤ 500 ms) significantly reduce misoperation rates and task time, while improving user satisfaction and safety. Compared to traditional mean-based methods, this model better captures behavioral trends and controls extremes, suiting high-uncertainty user groups. It provides a “behavior modeling risk identification parameter feedback” closed-loop for aging-friendly design, expanding data-driven, prudent risk control in design science with value for multimodal interactions and intelligent elderly care.

To promote the transition to a cleaner energy structure and support the achievement of the “carbon peak and carbon neutrality” goals, concentrated solar power (CSP) technology has attracted increasing attention. The molten salt globe valve, as a key control component in CSP systems, faces significant challenges related to low-temperature salt crystallization and thermal stress control. This study proposes an active electromagnetic induction heating method based on a triangular double-helix cross-section coil to address issues such as molten salt blockage in the seal bellows and excessive thermal stress during heating. First, electromagnetic simulation comparisons show that the ohmic loss of the proposed coil is approximately 3.5 times and 1.8 times higher than that of conventional circular and rectangular coils, respectively, demonstrating superior heating uniformity and energy efficiency. Second, transient electromagnetic-thermal-fluid-structure multiphysics coupling analysis reveals that during heating, the temperature in the bellows seal region stabilizes above 543.15 K, exceeding the solidification point of the molten salt, while the whole valve reaches thermal stability within about 1000 s, effectively preventing local solidification. Finally, thermal stress analysis indicates that under a preheating condition of 473.15 K, the transient thermal shock stress on the valve body and bellows is reduced by 266.84% and 253.91%, respectively, compared with the non-preheating case, with peak stresses remaining below the allowable stress limit of the material, thereby significantly extending the service life of the valve. This research provides an effective solution for ensuring reliable operation of molten salt valves and improving the overall performance of CSP systems.

In this study, the electromagnetic heating of a steel sample in dilatometer was modeled with finite element method. The model was developed to simulate electromagnetic heating process of Linseis DIL L78 DQT/RITA Quenching & Deformation dilatometer, using the dimensions, current and frequency measured from the dilatometer for model validation. Thermophysical and electromagnetic behaviour of a steel is highly temperature-dependent, necessitating the temperature dependent material properties of the test material. The goal of this study was to replicate the behaviour of the electromagnetic heating in the dilatometer as accurately as possible. In electromagnetic heating the material properties have a significant impact on the efficiency of the heating process. The material must be electrically conductive to allow generating the electric current caused of a changing magnetic field which forms the electric field on the surface of the heated material. Material properties, which vary with temperature, were defined in the model as a function of temperature to ensure realistic thermophysical behaviour of the simulated part. Two different analysis solvers were used for electromagnetic and heat transfer analysis. The model was validated using measured data from the dilatometer.

The growing environmental effect of asphalt pavements has fueled interest in sustainable alternatives including the application of recycled materials and self-healing systems. This research investigates the synergistic possibilities of steel slag aggregates and steel wool fibers in hot-mix asphalt compositions to increase sustainability and let crack healing via electromagnetic induction heating. Using either recycled steel slag or natural porphyritic aggregates, two kinds of AC16 Surf S mixtures with 35/50 bitumen were created incorporating two levels of steel fiber content (2% and 4%). Based on repeated semi-circular bending (SCB) testing following regulated induction heating and confinement, a committed self-healing evaluation plan was developed. The results verified that combinations including recycled steel slag met or outperformed traditional mixes in terms of mechanical behavior. Induction heating successfully set off partial recovery of fracture toughness, with more fiber content and repeated heating cycles producing better healing values. Recovery levels ran from 14.6% to 40%, therefore proving the practicality of this approach. These results encourage the creation of asphalt mixtures with improved endurance and environmental advantages. The research offers both an approved approach for assessing healing and real-world recommendations for the construction of low-maintenance, round pavements utilizing induction-based techniques.

Promoting in-situ hydrogen production from shale oil via electromagnetic heating: Water's contribution to hydrogen donation and coke removal

Interface strengthening of Mo/Cu composite plates prepared by differential temperature rolling based on electromagnetic induction heating followed by annealing

Numerical simulation and mathematical modeling for electromagnetic induction heating of spatially fixed micron-scale iron particles

Corrigendum to “Shear failure behavior of the interface between asphalt mixture and ice layer by electromagnetic induction heating” [Cold Regions Science and Technology, 240 (2025) 104627

Soft-switched Induction Cooking System with Reduced Switch Count and Independent Control for Multiple Loads

Asymmetrical voltage cancellation controlled multiload resonant inverter for induction cooking system

Ultrasound and electromagnetic heating assisted biodiesel production from waste cooking oil using paphia undulata shell-based CaO catalyst

ABSTRACT Induction heating (IH) has gained significant attention for its efficiency and performance in heating materials without direct contact. This paper presents the design and experimental evaluation of a novel resonant inverter capable of powering both ferromagnetic (FM) and nonferromagnetic (NFM) loads efficiently using dual half‐bridge (DHB) architecture with only three MOSFET switching devices for induction cooking (IC) systems. The inverter operates with dual frequency: a low frequency for FM load and a high frequency for NFM load. The power in FM load is controlled using pulse frequency modulation (PFM), and NFM load is controlled using either PFM or asymmetrical duty cycle (ADC) control, independently and simultaneously. Additionally, the inverter incorporates boost operation to enhance voltage regulation and ensure robust performance under load power varying conditions. The inverter is designed to operate with zero voltage switching (ZVS), minimizing switching losses and improving overall efficiency. An experimental prototype has been developed to deliver a total output power of 660 W, demonstrating the feasibility and effectiveness of the resonant inverter for practical applications.