Building a Cohesive-Failure Investigation: From Fracture Surface to Corrective Action
A cohesive fracture tells a more detailed story than most failure reports capture, because the investigation usually stops at "adhesive residue on both sides, cohesive failure confirmed" — the easy part. The harder and more useful question is which of several very different root causes actually produced that fracture, and answering it requires a structured investigation sequence rather than a one-line classification. Step 1: Document the Fracture Site Before It Gets Disturbed Before cleaning, cutting, or otherwise handling a failed joint, photograph both fracture faces under consistent lighting and note the fracture's location relative to the joint's edges and any geometric features (fasteners, fillet terminations, thickness transitions). Cohesive fractures that initiate at an edge or stress concentration tell a different story than one that appears to have started from an internal void — and once a sample gets handled, cut apart for testing, or cleaned, that spatial evidence is gone for good. Step 2: Classify the Fracture Surface Morphology Not all cohesive fractures look the same, and the surface texture itself is diagnostic. A ductile fracture surface — rough, torn, often showing drawn-out fibrils or a matte texture — indicates the adhesive had significant elongation capacity at the moment of failure, consistent with an overload event on an otherwise properly cured material. A brittle fracture surface — smooth, glassy, sometimes showing a fan-shaped or river-pattern texture radiating from an initiation point — indicates the material had lost ductility before it failed, pointing toward embrittlement, under-cure, or operation below the adhesive's intended flexible-service range. Reporting the approximate percentage of the fracture area that is cohesive versus adhesive versus substrate failure, in the style of the fracture-surface classification approach used in standards like ASTM D5573, gives a quantitative baseline that a single photograph or verbal description doesn't. Step 3: Run Instrumental Analysis to Confirm What the Visual Read Suggests Visual and morphological classification generates a hypothesis; instrumental testing confirms or rejects it. Differential scanning calorimetry (DSC) on a sample from the fracture surface checks whether the cured material actually reached its expected glass transition temperature and cure exotherm profile — a Tg reading meaningfully below the formulation's specified value is strong evidence of under-cure, distinguishing that root cause from an overload failure on a properly cured material. FTIR spectroscopy, run on the fractured material and compared against a reference spectrum of a correctly cured control sample, can reveal unreacted functional groups (residual epoxide or acrylate peaks) that confirm incomplete cross-linking, or conversely confirm the chemistry matches spec and the failure lies elsewhere. Scanning electron microscopy at higher magnification reveals micro-voids, contamination particles, or filler agglomeration acting as stress concentrators that aren't visible to the naked eye or under optical microscopy alone. Step 4: Correlate Fracture Evidence With Process Records Instrumental data identifies what's wrong with the material; process records identify why. Pull the cure log for the specific lot or production run involved — oven temperature profile for heat-cure systems, radiometer dose readings for UV systems, or dispensing-ratio verification records for two-part…