Innovative methods for small mixed batches production system improvement: The case of a bakery machine manufacturer

K Zgodavova, P Bober, V Majstorovic, K Monkova… - Sustainability, 2020 - mdpi.com
One of the common problems of organizations with turn-key projects is the high scrap rate.
There exist such traditional methods as Lean Six Sigma (LSS) and DMAIC tools that analyze …

[PDF][PDF] Prediction of surface roughness in turning using adaptive neuro-fuzzy inference system

BS Reddy, JS Kumar, KVK Reddy - Jordan Journal of Mechanical …, 2009 - jjmie.hu.edu.jo
Due to the extensive use of highly automated machine tools in the industry, manufacturing
requires reliable models for the prediction of output performance of machining processes …

[PDF][PDF] Adaptive neuro-fuzzy inference system (ANFIS) based surface roughness prediction model for ball end milling operation

SJ Hossain, N Ahmad - Journal of Mechanical Engineering …, 2012 - academicjournals.org
Surface roughness is an index which determines the quality of machined products and is
influenced by the cutting parameters. In this study, the average surface roughness Ra …

[PDF][PDF] Artificial intelligence based surface roughness prediction modeling for three dimensional end milling

MSJ Hossain, N Ahmad - International Journal of Advanced …, 2012 - researchgate.net
Surface roughness is an index which determines the quality of machined products and is
influenced by the cutting parameters. In this study the average surface roughness Ra (value) …

A predictive surface profile model for turning based on spectral analysis

JP Costes - Journal of Materials Processing Technology, 2013 - Elsevier
This article presents a predictive approach of surface topography based on the FFT analysis
of surface profiles. From a set of experimental machining tests, the parameters investigated …

[PDF][PDF] Surface roughness prediction model for ball end milling operation using artificial intelligence

SJ Hossain, N Ahmad - Management Science and Engineering, 2012 - researchgate.net
Surface roughness is an index which determines the quality of machined products. In this
study the average surface roughness value (Ra) for Aluminum after ball end milling …

Surface roughness prediction modelling for commercial dies using ANFIS, ANN and RSM

MSJ Hossain, N Ahmad - International Journal of Industrial …, 2014 - inderscienceonline.com
Surface roughness of dies is considered as a vital quality characteristic. In this study,
average surface roughness for a die material H13 has been measured after ball end milling …

A neuro-fuzzy approach to select cutting parameters for commercial die manufacturing

MSJ Hossain, N Ahmad - Procedia Engineering, 2014 - Elsevier
Surface roughness is a quality index for machined surfaces. In this study an algorithm has
been developed to determine the feasible solutions for cutting parameters in order to obtain …

Statistical quality control through process self-induced vibration spectrum analysis

C López-Escobar, R González-Palma… - … International Journal of …, 2012 - Springer
The first part of this study (Carnero et al., Mechanical Systems and Signal Processing, 24:
1138–1160, 2010) analysed the influence of the process variables and work cycles on the …

On the machining techniques useful for achieving superior quality of machined components

SS Goilkar - Materials Today: Proceedings, 2021 - Elsevier
In present competitive world, superior quality of components machined using innovative
machining techniques are vital. Manufacturing industries therefore takes utmost care in …