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GCRI · Pîşesaziya pêşketî û robotîk

Materials science for industry

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.

02Application

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.

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.

03Çavdêrî bike

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 · Pîşesaziya pêşketî û robotîk

Sampling sites

red: result above guideline

Circle size: exposure value · exampleN

Latest results

S-57Overall1.68Nêzîk
S-19Robot11.25Below
S-60Enerjî10.89Above
S-24Waste7.48Above

Trend at selected site

Field sampling: the screen’s structure, terms and states for Industry and robotics.Nav û nirxên nimûneyî; sêwiran e, ne qeyd an pergaleke zindî ye.
04Dane

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 in the source register.

DaneRolNîşan
Material test resultsQualificationÇAVDÊRÎKIRÎ
Materials databasesPropertiesREPORTED
Recycling yield dataRecoveryÇAVDÊRÎKIRÎ
05Simulator

Şokek di ekonomiyeke têketin-derketinê de.

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.

Kontrol

Sektora ya yekem lêketî (cih di lîsteyê de)
0
Mezinahiya şokê
30% ji derhênana wê
Dirêjahiya şokê
30 days
Rêjeya başbûnê
0.08 rojane
Rojên simulekirî
180 days

Xwendin

Zincîra pêvajoyê di wateya CEOS Analysis Ready Data de; her gav nediyariya xwe tomar dike berî ku wêne were xêzkirin. Avahiyeke giştî ye, ne encam.
0.76% of a year’s output
Tevahî li hemberî rasterast (pirkir)
1.80 times
Sektora din a herî zêde bandor lê hatiye kirin
Xizmet
Lûtkeya nexebitandina wê
5.5%
Jimar, rêbaz û çavkanî
SektorLûtkeya nexebitandinê (%)Giraniya derxistinê (%)
Çandinî32.5015.9
Enerjî0.9621.7
Çêkerî0.598.2
Veguhastin û benderan1.0713.4
Bazirganî0.6417.2
Xizmet5.4523.5

Rêbaz

  1. Analîza têketin-derketinê Leontief (1936); Miller and Blair (2009), Input-Output Analysis, Cambridge University Press
  2. Modela têketin-derketinê ya nexebitandinê Haimes and Jiang (2001), Journal of Infrastructure Systems 7
  3. Nexebitandina dînamîk û vegerandin Lian and Haimes (2006), Systems Engineering 9
  4. Pankeya nediyarîyê (Monte Carlo ya parametreyan) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  5. Hesasiyeta yek-yek (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Dane

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:

  • Benderên behrê Natural Earth
  • Tengavên behrî yên stratejîk Nexus (tengav û kanalên bi nav di koordînatên xwe yên weşandî de)
  • Rêhesin Natural Earth
  • Rêyên sereke Natural Earth
Şokek di ekonomiyeke têketin-derketinê de. Modela fêrkirinê ya nimûneyî: ew li ser nirxên ku kontrol destnîşan dikin dimeşe, ne li ser daneyên pîvandî. Rêbaz: Analîza têketin-derketinê (Leontief (1936); Miller and Blair (2009), Input-Output Analysis, Cambridge University Press); Modela têketin-derketinê ya nexebitandinê (Haimes and Jiang (2001), Journal of Infrastructure Systems 7); Nexebitandina dînamîk û vegerandin (Lian and Haimes (2006), Systems Engineering 9).
06Erêkirin

How results are checked.

Measurements are traceable to reference materials and verified through interlaboratory comparison. Simulations are benchmarked against experimental data.

Kontrol bikinHow it is done
RepeatabilityMaterial tests are repeated across batches
Standard test methodsTests follow recognised standards
End-of-life verificationRecyclability claims are checked with recyclers

Laboratory ageing tests may not reproduce long-term field conditions. Combined exposures and novel substances lack characterisation.

07Rêbaz û delîl

How materials science for industry is modelled, measured and tested.

Model, texmînên wî, daneyên wî û nediyariya wî, bi şeweyê ku zanyar an endezyar kontrol bike. Avahî rêbazên weşandî dişopînin. Nirxên hatine xêzkirin nimûneyî ne, ne encam in.

Modela pergalê

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.

++−++PîşesazîKarBazirganîCivakAborîR xurtkerB hevseng
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.
Prensîbên rêber ên FAIR · GO FAIR û FORCE11W3C PROV · World Wide Web ConsortiumRêwerzên ji bo birêvebirina hevgirtî ya nediyarîyan · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
08Connections

Topics that rely on this method.

09Stewardship

Who maintains the method.

Advanced Industry and Robotics stewards materials science and chemistry for the Consortium and reviews how it is applied across platforms.

10Pirs

Pirs û bersiv.

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.
Where else is this method applied?
Çavdêrxaneya canonical method page lists every platform that applies it.
rêzeya Pergalên StratejîkTevkarî bike

Ji vê rûpelê delîl bidin.

rêzeya Pergalên Stratejîk 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.

GCRIPîşesaziya pêşketî û robotîkTeknolojiya eksponensiyelXetere û berxwedana sektorî ya cîhanî
Pîşesaziya pêşketî û robotîk

Rêbazek, danehevek an pirsek bîne.

Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.