Detecting contamination and failures in space materials
Components, coatings, assemblies and polymer, metallic or composite materials intended for the space industry are subject to stringent cleanliness, stability and reliability requirements. Particulate, organic or metallic contamination can alter a surface, disrupt an optical, electrical or mechanical function and compromise equipment compliance. Cracking, corrosion, delamination, wear or premature failure also require their mechanism to be determined. Filab laboratory supports industrial companies with space materials analysis, contamination detection and failure detection to characterize observed defects and guide corrective actions.
Identifying failure mechanisms
Filab laboratory examines evidence associated with fractures, cracks, deformation, delamination, corrosion phenomena, loss of adhesion, wear or surface alterations. Examination of fracture surfaces, interfaces and microstructure helps link the anomaly to a physicochemical mechanism or applied stress. To further investigate materials, see our materials characterization services.
Observing, locating and analyzing composition
The methods used are selected according to the nature of the material and the objective of the study. Microscopic observation documents the appearance of a surface, deposit, particle or fracture surface. Elemental and spectroscopic analysis determine the composition of areas of interest, while chromatographic techniques can help identify organic contaminants. Cross-referencing these data strengthens the interpretation of the anomaly.
Preserving physical evidence
To limit the risk of cross-contamination or loss of evidence, it is recommended that parts, fragments, reference samples and particle samples be protected separately. Areas showing a defect should not be cleaned, rubbed or handled unnecessarily before analysis. Traceability information, photographs, storage conditions and relevant process data may be sent with the sample.
An analysis strategy tailored to the challenges of the space industry
Each investigation begins by defining the context: the nature and history of the sample, manufacturing conditions, use environment, affected area and decision criteria. Filab laboratory then develops a targeted analysis plan to compare a sound area with a failed area, identify the species present, locate contamination and assess the condition of the materials. This approach produces interpretable results for quality, industrialization, R&D and technical expertise teams.
Characterizing contaminants and residues
Characterization may target particles, films, oils, residual solvents, degradation products, metallic deposits or other foreign substances. Depending on the matrix and the question being addressed, Filab laboratory correlates the contaminant’s composition, location and mode of presence. HS-GC-MS analysis may be considered, in particular, for the detection and identification of volatile or semi-volatile organic compounds.
Comparing compliant areas with affected areas
Comparative analysis is often decisive: reference material and affected part, clean area and contaminated area, compliant batch and non-compliant batch. It helps highlight differences in composition, morphology or surface condition. Filab laboratory adapts sample preparation and the sequence of analysis to preserve the elements relevant to the investigation.
Ensuring reliable interpretation of the results
A precise description of the anomaly makes it easier to choose the appropriate techniques: date of occurrence, location, frequency, materials involved, manufacturing steps, cleaning operations, surface treatments, and conditions of use. When the issue concerns a process, an industrial process audit can help structure the search for potential sources of contamination or variability.
Define, submit, and use the investigation
To get started, send Filab laboratory a description of your needs, the available information about the material or component, the nature of the defect, and representative samples. Define the expected decision criteria, compare with a control sample where possible, and plan the necessary analysis. The conclusions obtained help support a compliance decision, identify the root cause, or guide corrective actions.