Iran University of Science and Technology

Biomass pyrolysis process simulation for design and assessment: A critical, decision-oriented review of aspen plus workflows and complementary tools

Biomass-pyrolysis process models increasingly support flowsheet design, heat integration, optimization, and techno-economic or environmental assessments. However, the reliability of their conclusions depends on whether feedstock heterogeneity, conversion behavior, condensable pro...

Occlusion Chatterbox: an origami-inspired robotic device for enhancing dental occlusion training

Occlusal morphology is a fundamental component of dental education and is essential for restorative, prosthodontic, and orthodontic procedures. However, traditional teaching methods—such as wax carving, plastic tooth models, and two-dimensional illustrations—often fail to provide...

Aligning centralized admissions with industry needs: A systemic structural model of major choice and graduate employability

Centralized, exam-driven admissions can distort field-of-study choices and widen skill mismatches at the university–industry interface. Using Iran as an illustrative case with transferability to other centralized systems, we build an expert-informed structural model linking natio...

Densification by ultrasonics

High-performance densification of powder materials has long been a challenging issue in many critical applications. The presence of two weaknesses, namely not reaching a density close to 100% and the presence of porosity in parts produced by powder metallurgy, can significantly a...

Thermal Aging and Geometry-Driven Changes in Strength of 3D-Printed Polymers

The benefits of additive manufacturing (AM, i.e., 3D printing) have made it one of the most widely used and favored production techniques across a variety of industries. In the current study, the influence of geometry and thermal aging on the mechanical strength of AMed parts has...

Sliding-mode fracture behavior of friction lap-welded aluminum-GFRP hybrid joints utilizing a thermoplastic interlayer

The Mode-II fracture response of friction lap-welded aluminum-to-thermoset glass fiber reinforced polymer (GFRP) composite joints, incorporating an interlayer made of thermoplastic material, was investigated through an integrated experimental and numerical approach. End-notched f...

The implementation of wide angle and UWB retrodirective linear Van Atta array

This paper presents the design, fabrication, and experimental validation of a broadband 1×16 Van Atta reflector array based on compact antipodal Vivaldi antennas. The proposed structure achieves wide azimuthal coverage in addition to ultra-wideband operation, ensuring stable retr...

Yield-aware generative inverse design of anti-reflection coatings via optimal-transport flow matching with a conditional-value-at-risk objective

Abstract Robustness to deposition error is conventionally treated as a post-hoc Monte-Carlo check in multilayer anti-reflection (AR) coating design: a nominally optimal stack is found first, and its manufacturing tolerance is assessed afterwards. We move robustness directly into...

Enhancing green supply chain adoption through digitalisation, risk management, and blockchain integration

This study examines how supply chain digitalization, supply chain disruption, risk management, and blockchain technology influence green supply chain adoption. Based on Dynamic Capability Theory, an integrated framework is developed to investigate the direct effects of digitaliza...

Effects of cooling rate on the biocorrosion, microstructure and mechanical properties of biomedical Mg-2Zn-0.5Sr-0.3Ca alloy

Abstract Effects of cooling rate on microstructure, biocorrosion behavior and mechanical properties of Mg-2Zn-0.5Sr-0.3Ca alloy prepared by water-cooling copper mold casting (material I) and steel mold casting (material II) were investigated by microstructure analysis, tensile st...

A novel data-driven framework for CNC machine maintenance: integrating deep learning and risk-based prioritization

In advanced industrial environments, predictive maintenance driven by multi-sensor data and intelligent modeling within the Industrial Internet of Things has become a pivotal strategy for mitigating unexpected failures and enhancing the operational efficiency of computer numerica...

Explainable ensemble machine learning for dissolved oxygen prediction in a reservoir using SHAP and chord diagram analysis

Dissolved oxygen (DO) is a key indicator of reservoir water quality and ecosystem integrity. The dynamics of DO are governed by complex physical, chemical, and biological reactions such as thermal stratification, nutrient interactions, photosynthesis, respiration, and microbial d...