In the modern manufacturing industry, automation plays a crucial role in increasing production efficiency, reducing labour costs, and ensuring consistent product quality. There is high requirement for such automated solutions in industries, that can deal with manufacturing of high-volume and small precise keys. Square keys and round keys made up of materials like Brass or Alloy Steel, are used in various mechanical applications. Which needs to be produced with good precision and high scale. These keys generally involve with special operation requirement like Saddle milling and cutting which cannot be performed on the single conventional machine without manual intervention. The traditional methods of saddle milling and cutting keys can be labour-intensive and prone to errors, leading to inefficiencies and reduced throughput. The outcome of this review is to Identify market gap and share general idea or understanding of SPM machine which can produce kind of key which has saddle milling and cutting operation requirement in mass production layout.
Introduction
A leading brass key manufacturer in Pune seeks a high-speed, automated milling solution to perform saddle milling and cutting of small brass keys (25-30mm, 2.5-3g) with minimal manual intervention. The goal is to meet a daily production demand of 3000-4000 keys within a 10-hour shift efficiently and cost-effectively.
Current Challenges:
Conventional milling machines and band saws require significant manual labor, have long cycle times exceeding the target of 20 seconds per key, consume high power (3-20 kW), and entail high operational and maintenance costs. These limitations restrict production capacity and scalability, making current methods inefficient and costly.
Project Objectives:
Develop an automated milling machine achieving a 20-second cycle time.
Ensure production capacity of 3000-4000 keys per day.
Keep costs within ?5-6 lakhs.
Limit power consumption to 5 kW/hr.
Minimize manual involvement while maintaining precision.
Initial Concept:
The machine design includes three induction motors to drive the saw blade cutter and saddle milling tools, and a worm screw mechanism. A pneumatic feeding and clamping system using five pneumatic actuators will automate key handling. The machine’s structure will be built from mild steel with an electronic control system featuring microcontrollers, sensors, and closed-loop control methods to achieve automation and precision.
Conclusion
The SPM Milling Machine successfully identifies the feasibility of combining saddle milling and cutting operations on a single machine to meet manufacturer requirements and performance metrics. Key benefits include:
1) Increased productivity and efficiency
2) Improved product quality and consistency
3) Reduced labour costs and manual interference
4) Energy efficiency and cost savings
References
[1] Xuhui Wang, Yinuo Wang (2021) “Automation Technology in Automobile Machinery Manufacturing”
[2] R A Sokolnikov et al. (2020) “Development of Methodology for Formalized Selection of Technological Operations”
[3] Slobodan Dudi?, Vule Relji?, Nikolina Daki? (2021) “Improving Energy Efficiency of Flexible Pneumatic Systems”
[4] Zhi-qiang G, Si-qi Y, Jun X (2019) “Design of Automation Control System for Pneumatic Circuits”
[5] Tran Thanh Tung1, Nguyen Xuan Quynh2, Tran Vu Minh3 (2021) “Development and Implementation of a mini CNC Milling Machine “
[6] Saad Mahmood Ali and Haider Mohsin (2021) Design and fabrication of 3-Axes mini-CNC milling machine
[7] Antonella Rizzo , Saurav Goel (2020) “The Critical Raw Materials in Cutting Tools for Machining Applications”
[8] Mingwei Wang & Jingtao Zhou (2020) “Milling Tool Wear Prediction Method Based on Deep Learning Under Variable Working Conditions”
[9] Ruchit Parekh (2024) “Automating the design process for smart building technologies”
[10] Hani Attar & Ayman Amer, (2022) “Control System Development and Implementation of a CNC”
[11] Tetsuo Samukawa†, Kazuki Shimomoto, and Haruhiko Suwa, (2020) “Estimation of In-Process Power Consumption in Face Milling by Specific Energy Consumption Models”
[12] Davis et al., (2020), “Optimizing Throughput in Automated Production Systems”