The DOI matches its Crossref record.
Manufacturing engineering and technology
Abstract
For courses in manufacturing processes at two- or four-year schools. An up-to-date text that provides a solid background in manufacturing processes. Manufacturing Engineering & Technology, 6/e, presents a mostly qualitative description of the science, technology, and practice of manufacturing. This includes detailed descriptions of manufacturing processes and the manufacturing enterprise that will help introduce students to important concepts. With a total of 120 examples and case studies, up-to-date and comprehensive coverage of all topics, and superior two-color graphics, this text provides a solid background for manufacturing students and serves as a valuable reference text for professionals. The Sixth Edition has been completely updated, and addresses issues essential to modern manufacturing, ranging from traditional topics such as casting, forming, machining, and joining, to advanced topics such as the fabrication of microelectronic devices and microelectromechanical systems (MEMS), and nanomaterials and nanomanufacturing.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Environmental friendly cutting fluids and cooling techniques in machining: a review
Debnath, S., Reddy, M. M., & Yi, Q. S. (2014) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2014.07.071 · Cited by 812
A comparison of traditional manufacturing vs additive manufacturing, the best method for the job
Pereira, T., Kennedy, J. V., & Potgieter, J. (2019) · Procedia Manufacturing · doi:10.1016/j.promfg.2019.02.003 · Cited by 523
Leveraging the Capabilities of Industry 4.0 for Improving Energy Efficiency in Smart Factories
Mohamed, N., Al-Jaroodi, J., & Lazarova-Molnar, S. (2019) · IEEE Access · doi:10.1109/access.2019.2897045 · Cited by 168
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 1990-05-01
- Volume
- 27
- Issue
- 09
- Pages
- 27-5145-27-5145
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W1585213982
- Cited by
- 1,595
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Manufacturing engineering and technology. https://app.cochat.ai/papers/10.5860/choice.27-5145
- The paper
- Manufacturing engineering and technology. (1990). Choice Reviews Online. https://doi.org/10.5860/choice.27-5145
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
