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.
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 andsupply chain risk. The canonical description is onSTEM Commons.
Material qualification
New alloys, composites and polymers are tested for strength, fatigue, corrosion and processing behaviour under the conditions of each application before use.
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.
03چاودێری
Field sampling.
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Field sampling
Industry and robotics · Materials science for industry · Run R-3610
Three sites overdueGCRI · پیشەسازیی پێشکەوتوو و ڕۆبۆتیک
Sampling sites
red: result above guideline
Latest results
S-57
Overall
1.6
8
نزیک
S-19
Robot
11.2
5
Below
S-60
وزە
10.8
9
Above
S-24
Waste
7.4
8
Above
Trend at selected site
Field sampling: the screen’s structure, terms and states for Industry and robotics.ناو و بەهای نموونەیی؛ دیزاینێکە، نەک تۆمار یان سیستەمی ڕاستەوخۆ.
04داتا
What the method consumes.
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 inthe source register.
داتا
ڕۆڵ
ناونیشان
Material test results
Qualification
چاودێریکراو
Materials databases
Properties
REPORTED
Recycling yield data
Recovery
چاودێریکراو
05ئەنجامدەر
شۆکێک بە ئابووریی دەرچوو-دانەدا تێدەپەڕێت.
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.
کۆنترۆڵەکان
کەرتی یەکەمجار زیانلێکەوتوو (شوێن لە لیستەکەدا)
0
قەبارەی شۆک
30% ی بەرهەمەکەی
ماوەی شۆک
30 days
ڕێژەی چاکبوونەوە
0.08 لە ڕۆژێکدا
ڕۆژی ئەزموونکراو
180 days
خوێندنەوەکان
بەرهەمی لەدەستچوو لە ماوەی ئەنجامدان
0.76% of a year’s output
کۆی گشتی بەسەر ڕاستەوخۆدا (چەندانە)
1.80 times
زۆرترین کاریگەری لەسەر کەرتی دیکە
خزمەتگوزارییەکان
بەرزترین ناکاراییەکەی
5.5%
ژمارە، ڕێگا و سەرچاوەکان
کەرت
بەرزترین ناکارایی (%)
کێشی دەرچوو (%)
کشتوکاڵ
32.50
15.9
وزە
0.96
21.7
بەرهەمهێنان
0.59
8.2
گواستنەوە و بەندەرەکان
1.07
13.4
بازرگانی
0.64
17.2
خزمەتگوزارییەکان
5.45
23.5
میتۆدەکان
شیکاری دەرچوو-دان Leontief (1936)؛ Miller و Blair (2009)، Input-Output Analysis، Cambridge University Press
مۆدێلی دەرچوو-دانی ناکارایی Haimes و Jiang (2001)، Journal of Infrastructure Systems 7
ناکارایی دینامیکی و چاکبوونەوە Lian و Haimes (2006)، Systems Engineering 9
پەنجەی نادڵنیایی (مۆنتی کارلۆی پارامیتەر) Spiegelhalter, Pearson و Short (2011)، Visualising uncertainty about the future، Science 333
هەستیاریی یەک-یەک (تۆرناد) Saltelli و ئەوانی دیکە (2008)، Global Sensitivity Analysis: The Primer، Wiley
داتا
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:
بەندەرە دەریاییەکان Natural Earth
گەرووە دەریاییەکان Nexus (ئاوەڕێ و کەناڵە ناوداڕەکان لەسەر کۆئۆردینەیتە بڵاوکراوەکانیان)
هێڵی شەمەندەفەر Natural Earth
ڕێگا سەرەکییەکان Natural Earth
شۆکێک بە ئابووریی دەرچوو-دانەدا تێدەپەڕێت. مۆدێلی فێرکاریی نموونەیی: لەسەر ئەو بەهایانە کار دەکات کە کۆنترۆڵەکان دایاندەنێن، نەک داتای پێوراو. ڕێگاکان: شیکاری دەرچوو-دان (Leontief (1936)؛ Miller و Blair (2009)، Input-Output Analysis، Cambridge University Press)؛ مۆدێلی دەرچوو-دانی ناکارایی (Haimes و Jiang (2001)، Journal of Infrastructure Systems 7)؛ ناکارایی دینامیکی و چاکبوونەوە (Lian و Haimes (2006)، Systems Engineering 9).
Measurements are traceable to reference materials and verified through interlaboratory comparison. Simulations are benchmarked against experimental data.
بپشکنە
How it is done
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.
07ڕێگا و بەڵگە
How materials science for industry is modelled, measured and tested.
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.
Causal loop diagram from the page’s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.
پرەنسیپە ڕێنماییەکانی FAIR · GO FAIR و FORCE11W3C PROV · World Wide Web Consortiumڕێنمایی بۆ مامەڵەی یەکسان لەگەڵ نادڵنیاییەکان · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
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.
How are results checked?
Measurements are traceable to reference materials and verified through interlaboratory comparison. Simulations are benchmarked against experimental data.
Are the values on this page real?
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.
Reportsis 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.
GCRIپیشەسازیی پێشکەوتوو و ڕۆبۆتیکتەکنەلۆجیای ئێکسپۆنێنشیاڵمەترسی و خۆڕاگریی کەرتی جیهانی
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