Evidence map›Paper›PMID 41374130›Full record

ArticleMaterials (Basel, Switzerland)2025

Structural Integrity Enhancement and Sustainable Machining Process Optimization for Anti-Lock Braking System Hydraulic Valve Blocks.

Alexandru-Nicolae Rusu, Dorin-Ion Dumitrascu, Adela-Eliza Dumitrascu

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alexandru-Nicolae RusuDepartment of Manufacturing Engineering, Transilvania University of Brasov, 5 Mihai Viteazul, 500036 Brasov, Romania.ORCID 0009-0002-9489-0931
Dorin-Ion DumitrascuDepartment of Automotive and Transport Engineering, Transilvania University of Brasov, 1 Politehnicii, 500036 Brasov, Romania.ORCID 0000-0003-3912-6017
Adela-Eliza DumitrascuDepartment of Manufacturing Engineering, Transilvania University of Brasov, 5 Mihai Viteazul, 500036 Brasov, Romania.ORCID 0000-0002-0272-9845

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents an in-depth study on the structural integrity enhancement and machining process optimization of Anti-lock Braking System (ABS) hydraulic valve blocks, focusing on the transition from the MK60 to the MK100 design. The research combines finite element analysis (FEA), topology optimization, fixture redesign, and coolant technology improvements to achieve significant performance, productivity, and sustainability gains. The MK100 exhibits a mass reduction of 31.6%, an increase in tensile strength by 29.2%, and a fatigue life extension of 35% compared to the MK60. Pressure losses have been reduced by 38.8%, improving braking system responsiveness. On the manufacturing side, fixture redesign increased production capacity from 240 to 480 parts per shift while reducing cycle time from 16 min to 8 min per lot. The transition from a semi-synthetic emulsion coolant (AquaCut EM-X45) to a bio-based oil (BioLube AL-2200) extended coolant replacement intervals from six months to two years, reduced tooling costs, and increased tool life by 25%. These findings demonstrate the feasibility of integrating computational design methods with advanced machining strategies to achieve measurable mechanical and economic benefits in the automotive industry.

Indexed as

automotive safety systemscomputational fluid dynamicsfinite element analysisprocess performancestructural analysistopological optimization workflows

Identifiers

PMID41374130
PMCPMC12692825

What OpenQuestion holds

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Registered trials

None linked

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.