Assessing thermal-mechanical properties of wood powder cellulose-based composites for 3D-printed architectural components

Ashish Jain, Guy Austern, Shany Barath
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Abstract

The construction industry is a major contributor to global CO₂ emissions, necessitating sustainable alternatives for building materials. Additive manufacturing (AM) using wood-based composites offers an eco-friendly solution for thermal insulation applications. This study explores the thermal and mechanical properties of wood powder–carboxymethyl cellulose composites fabricated via liquid deposition modeling (LDM). Six formulations incorporating industrial wood waste from beech and oak, with varied particle sizes, were developed to evaluate their extrudability, structural stability, and insulation efficiency. Material characterization included thermal conductivity testing via the transient plane source method and compressive strength assessment following ISO standards. Results indicate that particle size and wood species significantly influence material properties. Finer wood particles yielded higher compressive strength, whereas coarser particles exhibited lower conductivity, enhancing insulation performance. The best-performing formulation (B2: beech wood, medium particle size) demonstrated a balanced thermal conductivity of 0.188 W/m·K and compressive strength of 3 MPa. To assess large-scale buildability, a 3D-printed block component (200 × 350 × 220 mm) was fabricated. A refined formulation with reduced water improved print stability, demonstrating the viability of LDM for producing rigid, lightweight insulation blocks. This research establishes a foundational understanding of AM wood composites for thermal insulation, offering insights into material formulation, printability, and structural behavior. The findings underscore the potential of bio-based AM in sustainable construction, paving the way for scalable applications of wood waste in energy-efficient building systems. Future work will focus on optimizing binder composition, refining printing strategies, and exploring reinforcement techniques to enhance mechanical properties while maintaining thermal efficiency.

评估用于3d打印建筑构件的木粉纤维素基复合材料的热机械性能
建筑行业是全球二氧化碳排放量的主要来源,因此需要可持续的建筑材料替代品。使用木质复合材料的增材制造(AM)为隔热应用提供了一种环保的解决方案。本研究探讨了液体沉积建模(LDM)法制备木粉-羧甲基纤维素复合材料的热力学性能。六种配方结合了不同粒径的山毛榉和橡树的工业木材废料,以评估它们的可压缩性、结构稳定性和绝缘效率。材料特性包括通过瞬态平面源法进行导热性测试和按照ISO标准进行抗压强度评估。结果表明,颗粒大小和木材种类对材料性能有显著影响。细木材颗粒产生较高的抗压强度,而粗颗粒表现出较低的导电性,增强绝缘性能。最佳配方(B2:山毛榉木,中等粒径)的导热系数为0.188 W/m·K,抗压强度为3 MPa。为了评估大规模可建造性,制作了一个3d打印块组件(200 × 350 × 220 mm)。减少水分的精制配方提高了打印稳定性,证明了LDM用于生产刚性,轻质绝缘块的可行性。本研究建立了对AM木复合材料隔热的基本理解,提供了对材料配方、可打印性和结构行为的见解。研究结果强调了生物基AM在可持续建筑中的潜力,为木材废料在节能建筑系统中的大规模应用铺平了道路。未来的工作将集中在优化粘合剂组成,改进印刷策略,探索增强技术,以提高机械性能,同时保持热效率。
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