![Fig. 33 Machine-vision based encoder-decoder convolutional neural networks architecture to monitor weld profile geometry. Reprinted by permission from Elsevier License: Elsevier [152].](/figures/fig-33-machine-vision-based-encoder-decoder-convolutional-2xz4ng7u.webp)
![Fig. 27 Architecture of neuro-fuzzy having 3 inputs–2 outputs with eight rules to model plunge grinding. Reprinted by permission from Elsevier License: Elsevier [179].](/figures/fig-27-architecture-of-neuro-fuzzy-having-3-inputs-2-outputs-38nennp1.webp)
Q2. What are the main reasons for the integration of machine intelligence in the production line?
Quality output and increased productivity have been two of the biggest reasons for the integration of machine intelligence in the production line [1].
Q3. What is the common method of deburring edges?
In case of deburring edges, compliant tools in the form of flap discs/wheel, as well as three-body abrasive tooling such as media finishing, are suitable options.
Q4. What makes it difficult to model the abrasive processes?
The stochastic nature of material non-homogeneity, machine/ tool vibration, abrasive tool degradation, chip formation and undefined contacts makes it difficult to model the abrasive processes theoretically.
Q5. What is the common method of finishing abrasive surfaces?
Finishing of three-dimensional (3D) surfaces such as grooves, projections, or complex, indepth profiles is a trivial task for many abrasive finishing processes.
Q6. What is the importance of establishing the parameter level using Design of Experiments?
For establishing a generalized data-driven model, is it critical to establish the parameter level using Design of Experiments (DoE’s).
Q7. What is the effect of improper grinding of metals on the surface?
Inappropriate grinding of metals will cause undesirable and irreversible change in the microstructure of a surface layer resulting in the workpiece "burn".
Q8. What is the way to model abrasive finishing?
With manufacturing industries evolving and new materials been introduced rapidly, modelling process analytically, especially for abrasive finishing, will be a challenging task.
Q9. How do the materials determine the surface roughness of the workpiece?
The compound material, percentage mixture volume, abrasive particle micron size and applied pressure determine the resulting stock removal rate and surface roughness[79].
Q10. What are the main events that affect the surface of abrasive materials?
Out of the various events occurring in the interaction zone, only three events namely rubbing, ploughing and cutting are significantly responsible for the modification of the surface, i.e., material removal or surface wear in abrasive finishing process [49-52].
Q11. What is the effect of abrasive processes on the surface of the workpiece?
In abrasive processes, each abrasive grain particle removes a tiny bit of material when it forces onto the surface of the workpiece.
Q12. What is the way to take maximum advantage of the abrasive finishing process?
A potential way of taking maximum advantage of the abrasive finishing is to model and monitor the characteristic features of the process.
Q13. What other techniques have been used to estimate material removal?
The authors have also explored other regression modelling techniques such as ANFIS, RF apart from ANN to estimate material removal based on parameters in the belt grinding process [74].
Q14. What is the likelihood for the traditional machining tools to encounter a void or micro level?
the likelihood for the traditional machining tools to encounter a void or micro level defect is very high as metals are non-homogenous at the micro level.