Energy and Cost Efficiency in CNC Machining from a Process Planning Perspective

Jiang

Proceedings of the Institution of Mechanical Engineers, Part B:

et al. 2016

Increasing energy consumption of manufacturing industry demands novel approaches to achieve energy conservation and emission reduction. Most of the previous research efforts in this area focused more on analyzing manufacturing energy consumption of a process or that of a machine tool with less concern on the system level of advanced machining workshop, especially a flexible manufacturing system. In this article, a new energy-saving approach of flexible manufacturing system is put forward based on energy evaluation model for integration of process planning and scheduling problem in flexible manufacturing system (flexible manufacturing system-integration of process planning and scheduling). First, complying with feature precedence and other technological requirements, flexible manufacturing system -integration of process planning and scheduling is mapped as an asymmetric traveling salesman problem of which operations are provinces and candidate operations are cities belonging to different provinces. To evaluate the performance of each solution of the asymmetric traveling salesman problem, energy consumption evaluation criteria for flexible manufacturing system-integration of process planning and scheduling are established and three energy efficiency indicators are also provided to perform further analysis on manufacturing energy consumption, that is, part energy efficiency, machine tool energy efficiency and feasible solution energy efficiency. Then, a mutation-combined ant colony optimization algorithm is proposed to solve the flexible manufacturing system-integration of process planning and scheduling which combined roulette and mutation selection methods to pick out the next candidate operation. The pheromone trails associated with edges are released by the so-far-best ant or the iteration-best ant probabilistically to both keep the search directed and avoid converging to the local best. Finally, a case study of flexible manufacturing system in advanced machining workshop is employed to demonstrate the feasibility and applicability of this approach in three different scenarios and compared with the “process planning then scheduling” approach; energy consumption obtained by the proposed method drops 10.7%.

Section: Literature Reviewmentioning

confidence: 99%

Energy-aware integration of process planning and scheduling of advanced machining workshop

Jiang

Proceedings of the Institution of Mechanical Engineers, Part B:

et al. 2016

“…During the progress of such control processes, huge amounts of energy are consumed, and a tool's consumption trend changes dynamically [4], [5]. Therefore, there is a need for a technology and system that can be effectively utilized for monitoring, analyzing, and predicting the energy consumption of such machine tools and improving their use according to their purpose, such as optimal energy use and active control of energy-based machinery [6]. In response to these needs for energy reduction and management, leading makers of machine tools (e.g., DMG MORI, Okuma, and Mazak) are developing and commercializing human-machine interface (HMI) systems with energy monitoring functions, which support the energy consumption monitoring of representative machine tool components, such as spindles and servo motors [7]- [9].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Energy Data Analytics Approach for Machine Tools

Kang

Lee

2020

IEEE Access

Efficiency and the reduction of energy consumption in the manufacturing industry are crucial issues for green and sustainable manufacturing. In particular, the machine tool field, which is a representative resources of the manufacturing industry and consumes a large amount of energy, requires the development of a technology capable of monitoring and analyzing data from an energy point of view in addition to existing manufacturing indicators such as productivity improvement and processing quality; however, existing studies have focused on one-dimensional areas such as monitoring energy consumption or developing predictive models in an experimental environment. Therefore, it is necessary to establish a practical and integrated environment by developing more systematic methodologies and supporting systems. In this paper, an integrated approach to the energy consumption of machine tools based on a data analysis is introduced. During the development of the approach, the real-time data processing methods of various sources, such as sensors and computer numerical control interfaces were investigated in a real environment, and the energy consumption models of the target machine's tools and feeds were defined. An energy data-based comparative analysis method for diagnosing an abnormal state was also developed. In addition, practicality was confirmed through the implementation of the developed approach and the actual application process. Through the results of this paper, a more efficient energy data management and consumption plan can be established, and the convergence of advanced information communication technology can be expected to be the basis for green and sustainable manufacturing. INDEX TERMS Data analytics, energy consumption unit, machine tools, monitoring and prediction.

“…There are many CNC software solutions, which vary in price, performance or closed-source commercial (Siemens, FANUC, LabVIEW) and open-source solutions (LinuxCNC, Arduino -primarily for hobby operation). Our research group tends to use open-source solutions, because our needs are different from conventional industrial CNC applications [2]. Therefore, some properties of the software has to be operationally modified according to our requirements.…”

Section: Introductionmentioning

confidence: 99%

Multi-Channel Control System for in-Situ Laboratory Loading Devices

Rada

Fíla

Zlámal

et al. 2018

APP

In recent years, open-source applications have replaced proprietary software in many fields. Especially open-source software tools based on Linux operating system have wide range of utilization. In terms of CNC solutions, an open-source system LinuxCNC can be used. However, the LinuxCNC control software and the graphical user interface (GUI) could be developed only on top of Hardware Abstraction Layer. Nevertheless, the LinuxCNC community provided Python Interface, which allows for controlling CNC machine using Python programming language, therefore whole control software can be developed in Python. The paper focuses on a development of a multi-process control software mainly for in-house developed loading devices operated at our institute. The software tool is based on the LinuxCNC Python Interface and Qt framework, which gives the software an ability to be modular and effectively adapted for various devices.