National Chin-Yi University of Technology

This mini-review provides a focused overview of configuration-dependent and multi-parameter optimization in biomass gasification systems. Rather than broadly summarizing biomass gasification, it examines how key operating variables, including temperature, equivalence ratio, and steam-to-biomass ratio, interact across different gasifier configurations and influence syngas composition, tar formation, and process efficiency. Major reactor types, including fixed-bed, fluidized-bed, dual fluidized-bed, entrained-flow, and supercritical water gasifiers, show different sensitivities to these parameters because of differences in hydrodynamics, heat transfer, and reaction environments. Based on a comparative assessment of recent studies, the review discusses configuration-specific trends, parameter trade-offs, and the limited transferability of operating conditions between systems. Emerging data-driven approaches, including computational fluid dynamics, machine learning, and hybrid modeling, are also considered in the context of multi-parameter optimization. Although these approaches have shown potential for improving hydrogen yield, carbon conversion, and cold-gas efficiency, their current limitations related to data availability, model generalizability, and industrial implementation are also discussed. Overall, the review indicates a gradual shift from fixed operating windows toward more adaptive and condition-responsive gasification strategies. Future research needs include improved data consistency, integrated multi-parameter optimization, real-time process monitoring, and further evaluation of AI-assisted approaches for scalable biomass gasification systems.

This study focuses on weaving drafts as the core research subject, exploring their application value in the pattern arrangement principles of plane composition and instructional design. The research samples were selected from the Tie-ups in Straight Twill, Crepe, and Dice Weaves in The Weaver’s Book of 8-Shaft Patterns. A total of 55 samples were collected and analyzed. Threading draft and Treadling were used as structural references to examine the correspondence between the visual composition of weaving drafts and the arrangement in graphic design. The research methodology consists of two aspects. From the perspective of plane composition, seventeen compositional principles were applied to analyze pattern characteristics, including symmetry, rotation, displacement, translation, and black–white inversion. From the perspective of instructional design, this study investigates how weaving drafts can be transformed into teaching content for plane composition, constructing a framework for pattern analysis and teaching that can be applied in basic design courses. The results indicate that weaving drafts not only possess clear structural logic in weaving construction but also exhibit a high degree of visual order and formal aesthetics. Among the compositional principles, black–white inversion, translation, reflection, and rotation are the most frequently observed, demonstrating regularity, symmetry, and variation in pattern generation. Furthermore, weaving drafts can serve as concrete and systematic visual teaching materials in plane composition. Through the correspondence among Tie-ups, Threadling draft, and Treadling, students are able to better understand the relationship between abstract compositional principles and actual patterns, thereby enhancing their compositional ability and formal interpretation in graphic design.

The tool-point frequency response function (FRF) of a spindle–tool system plays a crucial role in predicting machining stability. Among the factors influencing the FRF, the interface characteristics between the spindle and the tool holder are particularly significant, especially when different holder designs are used. This study focused on identifying these interface characteristics for two common tool holder types—BT and BBT—to improve FRF prediction accuracy. The receptance coupling substructure analysis (RCSA) method was employed in conjunction with finite element modeling (FEM) to characterize the spindle–tool holder interfaces without needing extensive experimental tapping tests. Finite element models were developed to generate receptance components for various tool holder–tool assemblies, enabling efficient and accurate coupling within the RCSA framework. The identified interface parameters were applied to predict the tool-point FRFs of the cutter clamped in a BT tool holder with different overhang lengths. The predicted and measured tool compliances differed by 3–4.6%, demonstrating high agreement and reliability. The proposed methodology provides a powerful tool for predictive modeling of dynamic behavior in spindle–tool systems under varying tooling conditions, enhancing process planning and evaluation of the cutting stability in high-precision machining.