Modelling Cutting States in Rough Turning of 34CrNiMo6 Steel

Rough turning is an important form of manufacturing cylinder-symmetric parts. Thus far, increasing the level of automation in rough turning has included process monitoring methods or adaptive turning control methods that aim to keep the process conditions constant. However, in order to improve process safety, quality and efficiency, an adaptive turning control should be transformed into an intelligent machining system optimizing cutting values to match process conditions or to actively seek to improve process conditions. In this study, primary and secondary chatter and chip formation are studied to understand how to measure the effect of these phenomena to the process conditions and how to avoid undesired cutting conditions. The concept of cutting state is used to address the combination of these phenomena and the current use of the power capacity of the lathe. The measures to the phenomena are not developed based on physical measures, but instead, the severity of the measures is modelled against expert opinion. Based on the concept of cutting state, an expert system style fuzzy control system capable of optimizing the cutting process was created. Important aspects of the system include the capability to adapt to several cutting phenomena appearing at once, even if the said phenomena would potentially require conflicting control action.

Robottihitsauksen toimintojen kehittäminen hitsaustuotannossa

Tämän diplomityön tarkoituksena oli kehittää robottihitsauksen toimintoja KKR Steel Oy:ssä. Tärkeimmät tutkimuskohteet olivat robottisolujen toiminnan tehostaminen ja uusien robottihitsaukseen sopivien tuotteiden kartoittaminen. Työ on jaettu teoreettiseen ja käytännön osuuteen. Teoriaosassa perehdytään kirjallisuuskatsauksen kautta robottihitsauksen perusteisiin, hitsauksen robotisointiin sekä tuottavuuteen ja laatuun. Robottihitsauksen osuudessa käsitellään hitsausrobotin rakennetta, siihen liittyviä oheislaitteita ja robottien ohjelmointia. Hitsauksen robotisoinnissa selvitetään syitä robottihitsauksen käyttöönotolle, robotisoitavilta tuotteilta vaadittavia ominaisuuksia sekä erilaisia toimenpiteitä robottiaseman toiminnan tehostamiseksi. Tuottavuuteen liittyvässä osuudessa selvitetään erilaisten laskentakaavojen ja tunnuslukujen käyttöä ja merkitystä hitsauksessa. Käytännön osuudessa kartoitettiin yrityksen robottihitsauksen lähtötilanne ja selvitettiin ongelmakohtien perusteella kehittämistoimenpiteitä. Tutkimuksissa seurattiin ja havainnoitiin hitsaustuotannon eri vaiheita, minkä perusteella laadittiin erilaisia parannuskeinoja. Toimenpiteistä saatavan hyödyn arviointiin käytettiin yrityksen tuotantoon sopivia mittareita kuten läpimenoaikaa ja kaariaikasuhdetta. Havaittujen ongelmakohtien perusteella ryhdyttiin kehittämään hitsauskiinnittimien suunnittelua ja käsittelylaitteiden käyttöä hitsaustuotannossa sekä hyödyntämään etäohjelmointia tuotteiden viennissä robottiasemille. Lisäksi robottiasemien käyttöastetta pyrittiin nostamaan tutkimalla käsinhitsattavia tuotteita ja siirtämällä niistä robotille soveltuvimmat robottiasemille hitsattavaksi.

Development of a Control System for a Tele Operated Mobile Robot

Mobile robots are capable of performing spatial displacement motions in different environments. This motions can be calculated based on sensorial data (autonomous robot) or given by an operator (tele operated robot). This thesis is focused on the latter providing the control architecture which bridges the tele operator and the robot’s locomotion system and end effectors. Such a task might prove overwhelming in cases where the robot comprises a wide variety of sensors and actuators hence a relatively new option was selected: Robot Operating System (ROS). The control system of a new robot will be sketched and tested in a simulation model using ROS together with Gazebo in order to determine the viability of such a system. The simulated model will be based on the projected shape and main features of the real machine. A stability analysis will be performed first theoretically and afterwards using the developed model. This thesis concluded that both the physical properties and the control architecture are feasible and stable settling up the ground for further work with the same robot.

Monitoring Directed Energy Deposition Processes in Additive Manufacturing

The purpose of this study is to find out how laser based Directed Energy Deposition processes can benefit from different types of monitoring. DED is a type of additive manufacturing process, where parts are manufactured in layers by using metallic powder or metallic wire. DED processes can be used to manufacture parts that are not possible to manufacture with conventional manufacturing processes, when adding new geometries to existing parts or when wanting to minimize the scrap material that would result from machining the part. The aim of this study is to find out why laser based DED-processes are monitored, how they are monitored and what devices are used for monitoring. This study has been done in the form of a literature review. During the manufacturing process, the DED-process is highly sensitive to different disturbances such as fluctuations in laser absorption, powder feed rate, temperature, humidity or the reflectivity of the melt pool. These fluctuations can cause fluctuations in the size of the melt pool or its temperature. The variations in the size of the melt pool have an effect on the thickness of individual layers, which have a direct impact on the final surface quality and dimensional accuracy of the parts. By collecting data from these fluctuations and adjusting the laser power in real-time, the size of the melt pool and its temperature can be kept within a specified range that leads to significant improvements in the manufacturing quality. The main areas of monitoring can be divided into the monitoring of the powder feed rate, the temperature of the melt pool, the height of the melt pool and the geometry of the melt pool. Monitoring the powder feed rate is important when depositing different material compositions. Monitoring the temperature of the melt pool can give information about the microstructure and mechanical properties of the part. Monitoring the height and the geometry of the melt pool is an important factor in achieving the desired dimensional accuracy of the part. By combining multiple different monitoring devices, the amount of fluctuations that can be controlled will be increased. In addition, by combining additive manufacturing with machining, the benefits of both processes could be utilized.