Material qualification
New alloys, composites and polymers are tested for strength, fatigue, corrosion and processing behaviour under the conditions of each application before use.
GCRI · 先进产业与机器人
面向工业的材料科学
Materials science and chemistry decide what industry can make, how durable products are and what can be recycled. In this field they cover new materials, additive manufacturing feedstocks, recyclability and the chemistry of industrial pollution.
01目录
Materials science for industry in five parts.
02申请
What materials science and chemistry does here.
Materials science and chemistry study the composition, structure and properties of substances and how they react and degrade. They inform the safety of industrial processes, the durability of infrastructure and the availability of critical materials. In industry and robotics, work and skills and trade, resources and supply chains, materials and chemical knowledge supports hazard classification, infrastructure lifetime assessment and substitution planning for scarce inputs. It links industrial accidents and pollution to health and supply chain risk. The canonical description is on STEM Commons.
Design for recycling
Material combinations and joining methods are chosen so that products can be disassembled and their materials recovered at good quality.
Powder quality for additive manufacturing
Metal powders are characterised for size, shape and contamination because these properties control the quality of printed parts.
03监测
Field sampling.
团队遵循该方法时会使用的界面：其指标、状态与决策。名称为示例，数值仅作示意。
Field sampling
Industry and robotics · Materials science for industry · Run R-3610
Three sites overdueGCRI · 先进产业与机器人
Sampling sites
red: result above guideline
Latest results
| S-57 | Overall | 1.6 | 8 | 近 |
| S-19 | Robot | 11.2 | 5 | 以下 |
| S-60 | 能源 | 10.8 | 9 | 以上 |
| S-24 | Waste | 7.4 | 8 | 以上 |
Trend at selected site
04数据
该方法使用的输入。
Datasets and records used by materials science and chemistry on this platform, with the role each plays and the label its values carry. Sources are listed in 来源登记册.
| 数据 | 角色 | 标签 |
|---|---|---|
| Material test results | Qualification | 观测 |
| Materials databases | 属性 | 已报告 |
| Recycling yield data | 恢复 | 观测 |
05模拟器
冲击在投入产出经济中的传播。
A loss of output in one sector propagates through the technical coefficients to its suppliers and customers, and recovers at the rate you set; the coefficients are teaching values, not national accounts. Teaching model with stated illustrative values, not a prediction.
控制措施
- 最先受冲击的部门（在列表中的位置）
- 0
- 冲击规模
- 其产出的 30%
- 冲击持续时间
- 30 days
- 恢复速率
- 每天 0.08
- 模拟天数
- 180 days
读数
- 运行期间损失的产出
- 0.76% of a year’s output
- 总量与直接量之比（乘数）
- 1.80 times
- 受影响最大的其他部门
- 服务
- 其峰值不可运行性
- 5.5%
数字、方法与来源
| 部门 | 峰值不可运行性（%） | 产出权重（%） |
|---|---|---|
| 农业 | 32.50 | 15.9 |
| 能源 | 0.96 | 21.7 |
| 制造业 | 0.59 | 8.2 |
| 交通与港口 | 1.07 | 13.4 |
| 贸易 | 0.64 | 17.2 |
| 服务 | 5.45 | 23.5 |
方法
- 投入产出分析 Leontief (1936); Miller and Blair (2009), Input-Output Analysis, Cambridge University Press
- 不可运行性投入产出模型 Haimes and Jiang (2001), Journal of Infrastructure Systems 7
- 动态不可运行性与恢复 Lian and Haimes (2006), Systems Engineering 9
- 不确定性扇形图（参数蒙特卡罗） Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
- 单因素敏感性（龙卷风图） Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
数据
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
- 海港 Natural Earth
- 海上咽喉要道 Nexus（按公布坐标标注的指定海峡和运河）
- 铁路 Natural Earth
- 主要道路 Natural Earth
贯穿六大支柱，由 Nexus Consortium 牵头
06验证
结果如何核查。
Measurements are traceable to reference materials and verified through interlaboratory comparison. Simulations are benchmarked against experimental data.
| 核查 | 如何开展 |
|---|---|
| Repeatability | Material tests are repeated across batches |
| Standard test methods | Tests follow recognised standards |
| End-of-life verification | Recyclability claims are checked with recyclers |
Laboratory ageing tests may not reproduce long-term field conditions. Combined exposures and novel substances lack characterisation.
07方法与证据
How materials science for industry is modelled, measured and tested.
模型、其假设、数据和不确定性，以科学家或工程师会核查的形式呈现。结构遵循已发表的方法。所取数值仅为示意，不是研究发现。
系统模型
The couplings between the systems in materials science for industry: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
FAIR 指导原则 · GO FAIR 和 FORCE11W3C PROV · 万维网联盟关于一致处理不确定性的指南 · IPCCCEOS 分析就绪数据 · 地球观测卫星委员会
09管理责任
由谁维护该方法。
Advanced Industry and Robotics stewards materials science and chemistry for the Consortium and reviews how it is applied across platforms.
10问题
问题与解答。
What are the limits of materials science and chemistry in this field?
Laboratory ageing tests may not reproduce long-term field conditions. Combined exposures and novel substances lack characterisation.
结果如何核查？
Measurements are traceable to reference materials and verified through interlaboratory comparison. Simulations are benchmarked against experimental data.
本页面上的数值是真实的吗？
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
该方法还应用于何处？
维持社会运转的 规范方法页面 列出应用该方法的每个平台。
报告贡献
从本页贡献证据。
报告 is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
GCRI先进产业与机器人指数级技术全球部门风险与韧性
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法律
法律文件。
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