Computer-Generated Optimum Hardwood Log Sawing Using Internal Defect Information

使用内部缺陷信息计算机生成最佳硬木原木锯切

• 批准号: 9313081
• 负责人: Luis Occena
• 金额: $ 17.39万
• 依托单位: University of Missouri-Columbia
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-09-01 至 1997-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9313081&HistoricalAwards=false
• 关键词: Computer; Generated; Optimum; Hardwood; Log

9313081 Occena Over the years, the human sawyer has been making saw placement decision based on limited information provided by external defects, and whatever internal defects are eventually revealed on the cut log faces by the sawing pattern. The planning of how the hardwood log can be sawn to improve recovery of high value lumber is hampered by the inability of the sawyer to "see" the internal defect location, orientation, and distribution inside the log. With expanded export and domestic markets, low quality logs, increased competition from non wood products, social pressures to manage public lands for nontimber resources, and the reduced profit margin between log costs and lumber process, the hardwood products industry has been exploring alternative means of improving value yield. This provides science and technology based methods and information that will benefit the hardwood products industry through improved product yield. The recent work on the application of photon tomography and other means of non invasive internal scanning of solids have opened up new avenues in the log breakdown planning problem. With new information related to internal defects, questions arise on how this new information can be put to best advantage. Do we need to recognize each defect? How do we process, organize, and interpret the internal defect information? How do we use it to determine sawing cuts for primary processing? Can we use this information as a look ahead for secondary processing?

小行星9313081 多年来，人类索耶一直基于由外部缺陷提供的有限信息以及由锯切图案最终在切割原木面上揭示的任何内部缺陷来做出锯放置决策。 如何锯切硬木原木以提高高价值木材的回收率的计划受到索耶不能“看到”原木内的内部缺陷位置、取向和分布的阻碍。 随着出口和国内市场的扩大，低质量的原木，来自非木材产品的竞争加剧，管理非木材资源的公共土地的社会压力，以及原木成本和木材加工之间的利润率下降，硬木产品行业一直在探索提高价值收益的替代方法。 这提供了科学和技术为基础的方法和信息，将有利于硬木产品行业通过提高产品产量。 近年来，光子层析成像技术和其他非侵入性固体内部扫描技术的应用，为原木分解规划开辟了新的途径。 随着与内部缺陷相关的新信息的出现，问题是如何最好地利用这些新信息。 我们需要识别每一个缺陷吗？ 我们如何处理、组织和解释内部缺陷信息？ 我们如何使用它来确定初级加工的锯切量？ 我们可以使用这些信息作为二次处理的前瞻吗？