{"title":"Dual motor position feedback control for electrically preloaded rack-and-pinion drive systems to increase accuracy","authors":"","doi":"10.1016/j.cirp.2024.04.087","DOIUrl":"10.1016/j.cirp.2024.04.087","url":null,"abstract":"<div><p>To increase the accuracy of indirect position-controlled dual motor rack-and-pinion drives, a new approach is being proposed that uses the encoders of both motors on a test bench. By electrically preloading these motors, backlash does not occur simultaneously in both drive trains. Continuous contact between the pinion and rack and thus force-transmission to the table is ensured, by switching away from the signal with backlash. Backlash is therefore eliminated from the control loop and the system accuracy without direct table position sensing can be increased. Experiments show that the tracking error is reduced by 59 % compared to indirect control.</p></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"73 1","pages":"Pages 313-316"},"PeriodicalIF":3.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0007850624001008/pdfft?md5=00f6dd05fe1dff734f8678e630ffbc5e&pid=1-s2.0-S0007850624001008-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141024405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine learning based substructure coupling of machine tool dynamics and chatter stability","authors":"","doi":"10.1016/j.cirp.2024.04.088","DOIUrl":"10.1016/j.cirp.2024.04.088","url":null,"abstract":"<div><p>Accurate prediction of tool tip dynamics is vital for understanding machine tool behavior and chatter. Traditional methods involve several impact tests, finite element simulations, and the receptance coupling (RC) approach. However, substructure coupling necessitates multiple experiments and encounters difficulties due to complexities of capturing rotational dynamics. The intricate nature of RC inhibits its widespread industrial applicability in predicting tool tip dynamics. We introduce machine learning (ML)-based approach relying on a few experiments and computer vision to predict dynamics. Comparative analysis with direct experiments shows the ML-based method's potential to expedite dynamic identification with accuracy, chatter prediction, and machining process optimization.</p></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"73 1","pages":"Pages 297-300"},"PeriodicalIF":3.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S000785062400101X/pdfft?md5=c0acabd51e0a0ecdb5599c6af56f4e0c&pid=1-s2.0-S000785062400101X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141027707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of ageing on machining performance of grey cast iron and its compensation by cutting speed management","authors":"","doi":"10.1016/j.cirp.2024.04.061","DOIUrl":"10.1016/j.cirp.2024.04.061","url":null,"abstract":"<div><p>Grey cast iron is known for its poor machinability directly after casting, but attains excellent machining performance after ageing. The present work explores the impact of cutting speed on the performance of pcBN machining for non-aged material. Findings suggest that tool wear can be minimized by identifying an optimal cutting speed that supports the formation of a stable Al<sub>2</sub>O<sub>3</sub> and MnS build-up layer (BUL). Insufficient BUL protection accelerates pcBN wear by diffusion, while at very high speeds protective Al<sub>2</sub>O<sub>3</sub> is replaced by weaker (Fe,Mn)<sub>2</sub>SiO<sub>4</sub> and (Fe,Mn)O, and oxidation accelerates tool wear. The higher mechanical properties of aged GCI facilitate generation of high enough temperatures for stable deposition of Al<sub>2</sub>O<sub>3</sub> BUL.</p></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"73 1","pages":"Pages 45-48"},"PeriodicalIF":3.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0007850624000763/pdfft?md5=4a40bd7ab514f5d2a7f6bb67d708126c&pid=1-s2.0-S0007850624000763-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141032199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Measurability of quality characteristics identified in latent spaces of Generative AI Models","authors":"","doi":"10.1016/j.cirp.2024.04.073","DOIUrl":"10.1016/j.cirp.2024.04.073","url":null,"abstract":"<div><p>Deep Learning can learn complex properties from image datasets, which are difficult to model with traditional machine vision algorithms, inherently in the form of disentangled latent spaces. With latent spaces of Generative AI models, a feature extraction method to access these properties can be implemented. This work evaluates whether the learned properties can be measured in the latent space. Quantity and quantity-value scale properties and the measurability of the dimensional quality characteristic ‘filling degree’ using a linear calibration function are demonstrated for an industrial machine vision application. An uncertainty indicator between 0.4–0.9 mm is estimated for the latent space measurements.</p></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"73 1","pages":"Pages 389-392"},"PeriodicalIF":3.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0007850624000866/pdfft?md5=ffa0ca65dfa41964cf67cbc1b46e291d&pid=1-s2.0-S0007850624000866-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141032459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effects of single-crystalline diamond quality on tool wear resistance and cutting performance","authors":"","doi":"10.1016/j.cirp.2024.04.050","DOIUrl":"10.1016/j.cirp.2024.04.050","url":null,"abstract":"<div><p>Single-crystalline diamond (SCD) tools are widely used in machining ultraprecision molds made of nonferrous metallic materials. However, the quality of natural and synthetic SCDs varies from higher to lower, and the tool life varies from longer to shorter. Therefore, in this study, the qualities of natural and synthetic SCDs were measured and analyzed crystal-optically and quantitatively by measuring the birefringence of the SCD. In the experiment, the electroless Ni<img>P molds were single-point turned using each SCD tool to clarify the effects of the SCD crystalline quality on the tool wear resistance and surface roughness of the workpieces.</p></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"73 1","pages":"Pages 37-40"},"PeriodicalIF":3.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141044768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transfer mechanism of printed patterns on a soft film to metal surface in compression","authors":"","doi":"10.1016/j.cirp.2024.04.017","DOIUrl":"10.1016/j.cirp.2024.04.017","url":null,"abstract":"<div><p>The transfer mechanism of a toner pattern printed on a soft film using a laser printer to a metal surface in compression was investigated by experiment and computer simulations. The toner pattern can be transferred successfully to the workpiece surface under the conditions that the entire soft film continues to be squeezed out smoothly from the workpiece edge until the transfer process is completed. The results indicate that the average tool pressure needed for the complete transfer of the toner pattern to the workpiece surface can be predicted by the average compression pressure calculated with slab method</p></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"73 1","pages":"Pages 209-212"},"PeriodicalIF":3.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141057878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cryo-FIB machining of group III-V semiconductors suppresses surface nanodroplets","authors":"","doi":"10.1016/j.cirp.2024.04.022","DOIUrl":"10.1016/j.cirp.2024.04.022","url":null,"abstract":"<div><p>Under ion beam radiation, surface defects in forms of nanodroplet are randomly formed on group III-V semiconductors’ surfaces. This work demonstrates the effectiveness of cryo-FIB on suppressing surface nanodroplets formation. Using GaAs as a representative, it was found that the surface nanodroplets derived from a phase transition process of the arsenide atoms. The redundant gallium atoms will then accumulate and eventually form surface nanodroplets. Cryo-FIB at 80 K can effetely suppress this phase transition process, leading to a defect free surface finish. The effectiveness of cryo-FIB on other group III–V semiconductors including InP and InAs are also successfully demonstrated.</p></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"73 1","pages":"Pages 169-172"},"PeriodicalIF":3.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140767785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tobias Hüsemann , Nikolai Guba , Holger Surm , Carsten Heinzel (2)
{"title":"Effect of alloy-specific case-hardening layers on the grindability of gears","authors":"Tobias Hüsemann , Nikolai Guba , Holger Surm , Carsten Heinzel (2)","doi":"10.1016/j.cirp.2024.04.030","DOIUrl":"10.1016/j.cirp.2024.04.030","url":null,"abstract":"<div><p>Previous studies have already demonstrated a clear influence of the different subsurface microstructures resulting from variations in case-hardening on machinability during gear grinding. However, the impact of the alloy system has not yet been considered in detail. In order to fill this knowledge gap, case-hardening layers are analysed using six case-hardening steels with different alloy systems and their resulting machinability during discontinuous profile grinding of gears is compared. In particular, the results indicate that the outer subsurface area (up to approx. 30 µm in depth) formed as a function of the alloy system has a significant influence.</p></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"73 1","pages":"Pages 253-256"},"PeriodicalIF":3.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0007850624000453/pdfft?md5=0ef2c959a9b52dae4d2b1606f253dd4a&pid=1-s2.0-S0007850624000453-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141960082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G.D. Putnik (2) , P. Pinheiro , L. Varela , C. Alves
{"title":"Self-organization in open and very large and complex design and manufacturing networks through entropy and power law distribution","authors":"G.D. Putnik (2) , P. Pinheiro , L. Varela , C. Alves","doi":"10.1016/j.cirp.2024.04.009","DOIUrl":"10.1016/j.cirp.2024.04.009","url":null,"abstract":"<div><p>The paper investigates the self-organization of open, very large, and complex networks as design and manufacturing systems, proposing a model of network behavior that could improve design and control (optimize) the networks. Two metrics identify self-organization: entropy and the power law distribution of network member interactions. The network's behavior identification and model validation arise across two real-life networks: the Arduino Forum network and the EEVBlog Forum network, which include designers and producers/makers.</p></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"73 1","pages":"Pages 337-340"},"PeriodicalIF":3.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0007850624000234/pdfft?md5=51c240daea682bf610c775b0d4cb693a&pid=1-s2.0-S0007850624000234-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141960084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of residual stress evaluation method for polymer products using THz polarization measurement","authors":"","doi":"10.1016/j.cirp.2024.04.069","DOIUrl":"10.1016/j.cirp.2024.04.069","url":null,"abstract":"<div><p>This paper proposes to utilize THz polarization measurement to nondestructively measure internal residual stress in polymer products. To verify the validity of the proposed method, a THz polarization measurement system was developed using a difference frequency light source, wire grid polarizers, and FMB diodes. Experimental analyses confirmed that THz polarization had a correlation with polymer orientations and the applied force by measuring these relationships with the developed system. The relationship between THz polarization factor and residual stress was finally investigated, which confirmed that our developed measurement system can achieve nondestructive and quantitative evaluation of the internal residual stress in polymer.</p></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"73 1","pages":"Pages 393-396"},"PeriodicalIF":3.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141032754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}