Knowledge Center
Material Atlas
Describe the material before evaluating what should process it.
Use a repeatable characterisation method to document composition, bulk density, moisture, contamination, physical form and variability. This atlas defines the input evidence; machinery and application selection are addressed separately.
Review Characterisation FieldsBrowse the knowledge base
Core topics
- Composition Define included fractions and the basis used to classify them. 01
- Bulk density Relate measured mass to an explicitly defined occupied volume. 02
- Moisture and condition Preserve the as-received state and identify the test method. 03
- Contamination Separate expected constituents from unwanted or hazardous inclusions. 04
- Physical form Record geometry, size distribution, flexibility and flow behaviour. 05
- Variability Report ranges and operating states rather than one ideal sample. 06
Core observations
Build a traceable description of the material stream
Each field answers a different engineering question. Keep measured observations, classification rules and downstream requirements distinct in the record.
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Composition
Define fractions using a stated classification rule
Identify the principal material fractions, fines, attached components and mixed objects. State whether results are based on mass, count or another basis, and retain an “unclassified” category rather than forcing uncertain observations into a preferred group.
Review the Sampling Method -
Physical property
Measure bulk density with the handling state declared
Report material mass and occupied volume together with container geometry, fill method, settling or compaction applied and moisture condition. A density value without this context cannot reliably represent storage, conveying or chamber-filling behaviour.
Record Project Inputs -
Material condition
Distinguish moisture result from visible condition
Record whether material is dry, damp, saturated, frozen, warm or otherwise altered at receipt. For a measured moisture result, identify the sampling location, preparation, analytical method, reporting basis and elapsed time between collection and testing.
Review Reporting Controls -
Contamination
Define unwanted inclusions and the inspection limit
List prohibited, process-disrupting and quality-limiting inclusions separately. Describe the inspection or separation method and its detection limit. Suspected hazardous material requires the site’s approved response and competent assessment, not routine characterisation.
Open the Safety Center -
Geometry and flow
Describe how individual pieces behave as a bulk stream
Record characteristic dimensions, size distribution, shape, flexibility, nesting, spring-back, entanglement and bridging observations. Note any preparation already applied because shredding, flattening, draining or sorting changes the material presented to the process.
Review Plastic Baling Criteria -
Variability
Represent the operating envelope, not a convenient snapshot
Compare normal, start-up, changeover and known seasonal or supplier-related conditions where they apply. Report observed ranges, sample count and missing coverage so design reviewers can distinguish representative evidence from assumptions requiring later verification.
Plan Engineering Review
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Sampling workflow
Preserve representativeness from collection to reporting
The appropriate method depends on the stream and decision being supported. Record the following controls so the evidence can be interpreted and repeated.
- 01
Define the population
State the source, time window, process state and material boundary that the samples are intended to represent.
- 02
Plan collection
Select locations and times that address known variation while documenting inaccessible or excluded portions of the stream.
- 03
Preserve condition
Control handling, storage and identification so moisture, composition and physical form are not unintentionally changed.
- 04
Apply the method
Use stated units, calibrated instruments where required, repeat observations and an explicit calculation basis.
- 05
Review the evidence
Check completeness, anomalous results, uncertainty and whether the dataset supports the decision for which it was collected.
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