New mold does not run stable at T0/T1
Troubleshooting & Process Optimization
From an unstable process to reproducible production.
We do not simply adjust parameters. We analyse material, machine, mold and process data, identify root causes and validate a robust process window.
Discuss a process issue
Defect
Data
Hypothesis
Trial
Validation
Stable Process
Typical symptoms
When process optimization is due
Scrap rises gradually with no obvious trigger
Individual cavities systematically deviate from the rest
A material batch change noticeably changes process behavior
From symptom to root cause
A visible injection molding defect is rarely caused by one parameter alone. Sink marks can be linked to packing, cooling, wall thickness or gating. Flash can be influenced by clamp force, tool condition, viscosity or venting. Analysis therefore starts with a hypothesis that is checked on the real part and against process data.
On multi-cavity molds, individual cavities often show different fill patterns, weights or dimensions despite identical machine parameters. Causes are frequently gate/cooling balance, mold temperature control, or wear on a specific cavity. We compare cavity-by-cavity data rather than only the average, so corrections target the right cavity instead of shifting the whole process.
Useful inputs
- photos of defect locations, good/bad parts and position on the part
- material data, drying, tool temperature, process parameters and change history
- use the troubleshooting library for initial triage
- clarify tooling-related root causes
- carry a stable process window into a mold trial
Approach
In trials we deliberately change one parameter at a time and document each adjustment with its measured result. This discipline prevents simultaneous changes from masking each other and keeps the outcome traceable for production and quality.
- Understand: capture parts, defect pattern, tool, machine, material and process history
- Analyze: evaluate root cause, not symptoms - material, mold, machine and parameters together
- Optimize: build process window and correction priorities systematically
- Validate: check stability with measurements, visual inspection and repeatability
- Document & Transfer: document parameters, risks, limits and next actions
Process window
Deliverables
- Defect pattern and root-cause hypothesis
- Process window and parameter limits
- Mold, material and machine influence
- Prioritized action list
FAQ
Can everything be solved remotely? No. Photos, data and videos help initial assessment; complex process-window or tooling issues often require work at the machine.
Common triggers
New mold, material change, batch change, changed environment, tool correction, rising scrap or unstable dimensions.
Why parameter history matters
Process problems often recur in a modified form - after tool maintenance, a supplier change or a machine move. A documented parameter history with reasoning shortens the next analysis, since known causes can be ruled out first.