ArticleMaterials (Basel, Switzerland)2026
Service-Life Prediction of Core Inserts Under High-Volume Plastic Injection Molding Conditions.
Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-volume injection molding systems for plastic part production operate under severe thermo-mechanical loading repeated at high production rates. Therefore, premature breakage of hot-work tool steel core inserts directly interrupts production continuity and creates a recurrent maintenance problem. To address this failure mode, this study collected production inputs and failure evidence and established a reliable interpretation by linking computer-aided engineering simulations of the plastic injection molding process, structural FEA of the insert response, and cumulative fatigue assessment using a TMF-creep damage model. This integrated approach provides a comprehensive framework for failure root-cause identification and service-life prediction and improving insert durability in mass-manufacturing environments.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.