1. A styrenic resin comprising between approximately 1 weight percent and 9 weight percent post-consumer recycle polystyrene (PCR PS), wherein the styrenic resin has a melt flow rate (MFR) of less than approximately 2.0 g10 min per ASTM D-1238-10 and an Mz+1 of at least approximately 700,000.
2. The styrenic resin of claim 1, wherein the styrenic resin has a MFR of between approximately 1.2 g10 min and 1.9 g10 min per ASTM D-1238-10.
3. The styrenic resin of claim 1, wherein the styrenic resin comprises between approximately 2 and 8 weight percent PCR PS and has a MFR of between approximately 1.3 g10 min and approximately 1.7 g10 min per ASTM D-1238-10.
4. The styrenic resin of claim 1, wherein the styrenic resin comprises between approximately 4 and 6 weight percent PCR PS and has a MFR of between approximately 1.4 g10 min and approximately 1.6 g10 min per ASTM D-1238-10.
5. The styrenic resin of claim 1, wherein the styrenic resin has between approximately 2 and 8 weight percent PCR PS and an Mz+1 of between approximately 700,000 and 750,000.
6. The styrenic resin of claim 1, wherein the styrenic resin has an extensional viscosity of at least 300,000 Pascal-seconds (Pa-sec) when measured on an extensional rheometer at 172\xb0 C. at an extension rate of 10 sec\u22121 and a measurement recording time at 0.3 seconds.
7. The styrenic resin of claim 1, wherein the styrenic resin has an extensional viscosity of between approximately 300,000 Pa-sec and approximately 350,000 Pa-sec when measured on an extensional rheometer at 172\xb0 C. and an extension rate of 10 sec\u22121 and a measurement recording time at 0.3 seconds.
8. The styrenic resin of claim 1, wherein the styrenic resin has between approximately 4 and 6 weight percent PCR PS, has an MFR of between approximately 1.4 and 1.6 g10 min per ASTM D-1238-10, has an Mz+1 of between approximately 700,000 and 730,000, and an extensional viscosity of between approximately 320,000 and 340,000 Pa-sec when measured on an extensional rheometer at 172\xb0 C. at an extension rate of 10 sec\u22121 and a measurement recording time at 0.3 seconds.
9. The styrenic resin of claim 1, wherein the styrenic resin is formed by a process comprising:
providing the PCR PS and monovinylarene monomer to a dissolver;
mixing the PCR PS and monovinylarene monomer within the dissolver to dissolve the PCR PS in the monovinylarene monomer so as to produce a first mixture;
providing the first mixture to a filter system comprising a self-cleaning filter to remove polymeric contaminants from the first mixture to produce a filtered mixture;
producing a reaction mixture comprising the filtered mixture; and
subjecting the reaction mixture to free-radical solution polymerization conditions to produce the styrenic resin.
10. An article of manufacture produced using a styrenic resin comprising between approximately 1 weight percent and 9 weight percent post-consumer recycle polystyrene (PCR PS), wherein the styrenic resin has a melt flow rate (MFR) of less than approximately 2.0 g10 min per ASTM D-1238-10 and an Mz+1 of at least approximately 700,000.
11. The article of manufacture of claim 10, wherein the styrenic resin has between approximately 4 and 6 weight percent PCR PS, has an MFR of between approximately 1.4 and 1.6 g10 min per ASTM D-1238-10, has an Mz+1 of between approximately 700,000 and 730,000, and an extensional viscosity of between approximately 320,000 and 340,000 Pa-sec when measured on an extensional rheometer at 172\xb0 C. at an extension rate of 10 sec\u22121 and a measurement recording time at 0.3 seconds.
12. A method of producing a styrenic resin having post-consumer recycle polystyrene (PCR PS), comprising:
providing PCR PS and monovinylarene monomer to a dissolver;
mixing the PCR PS and the monovinylarene monomer within the dissolver to at least partially dissolve the PCR PS in the monovinylarene monomer in order to produce a first mixture;
providing the first mixture to a filter system comprising a self-cleaning filter to remove polymeric contaminants from the first mixture to produce a filtered mixture;
producing a reaction mixture comprising the filtered mixture; and
subjecting the reaction mixture to free-radical solution polymerization conditions to produce the styrenic resin having the PCR PS.
13. The method of claim 12, wherein the PCR PS and the monovinylarene monomer are provided to the dissolver in an amount such that the styrenic resin has between approximately 1 weight percent and 30 weight percent PCR PS.
14. The method of claim 12, wherein the styrenic resin comprises between approximately 1 weight percent and 9 weight percent post-consumer recycle polystyrene (PCR PS), and has a melt flow rate (MFR) of less than approximately 2.0 g10 min per ASTM D-1238-10 and an Mz+1 of at least approximately 700,000.
15. The method of claim 14, wherein the styrenic resin has a MFR of between approximately 1.2 g10 min and 1.9 g10 min per ASTM D-1238-10.
16. The method of claim 14, wherein the styrenic resin has between approximately 4 and 6 weight percent PCR PS, has an MFR of between approximately 1.4 and 1.6 g10 min per ASTM D-1238-10, has an Mz+1 of between approximately 700,000 and 730,000, and an extensional viscosity of between approximately 320,000 and 340,000 Pa-sec when measured on an extensional rheometer at 172\xb0 C. at an extension rate of 10 sec\u22121 and a measurement recording time at 0.3 seconds.
17. The method of claim 12, wherein the PCR PS and the monovinylarene monomer are provided to the dissolver in an amount such that the styrenic resin has between approximately 20 weight percent and 30 weight percent PCR PS.
18. The method of claim 12, wherein providing the PCR polystyrene and the monovinylarene monomer to the dissolver comprises providing the PCR polystyrene to the dissolver as a solid and the monovinylarene monomer as a liquid, and wherein the mixing of the PCR polystyrene and the monovinylarene monomer in the dissolver is performed in an atmosphere substantially free of oxygen.
19. The method of claim 12, comprising removing metal particulates from a flow comprising the PCR polystyrene using a magnetic separator disposed upstream of the dissolver.
20. The method of claim 12, wherein producing the reaction mixture comprising the filtered mixture comprises providing a free-radical initiator, such that subjecting the reaction mixture to free-radical solution polymerization conditions comprises subjecting the reaction mixture to a chemically initiated free-radical polymerization.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method for distributed processing of streaming call center data on an event protocol, comprising:
(a) receiving a plurality of related events from said streaming call center data at a node, said streaming call center data including data being dynamically collected during on-going phone calls while the data are being processed;
(b) amending a state of said related events based on a common key function of the related events;
(c) determining an error margin based on the amended state, said error margin representing an uncertainty in the streaming data as a result of a portion of said data being from on-going phone calls; and
(d) updating a current data transformation based on the amended state and error margin, thereby enabling real time analysis of streaming data.
2. The method of claim 1, wherein said events are related by a key function.
3. The method of claim 2, wherein said node is determined based on said key function.
4. The method of claim 1, wherein said amending is based on a current state associated with said related events.
5. The method of claim 1, wherein said updating includes modifying a prior measurement.
6. The method of claim 1, wherein said updating includes modifying an interim result.
7. The method of claim 1, wherein said updating includes:
(i) examining current states of a plurality of related events;
(ii) aggregating said current states; and
(iii) adjusting said aggregate with said error margin.
8. A server configured for distributed processing of streaming call center data on an event protocol, comprising:
a processor; and
a computer memory coupled to the processor, the computer memory including:
a data transformation module configured to receive a plurality of related events from said streaming call center data at a node and amend a state of said related events based on a common key function of the related events, said streaming call center data including data being dynamically collected during on-going phone calls while the data are being processed;
an error calculation module configured to determine an error margin based on the amended state, said error margin representing an uncertainty in the streaming data as a result of a portion of said data being from on-going phone calls; and
a result generation module configured to update a current data transformation based on the amended state and error margin, thereby enabling real time analysis of streaming data.
9. The server of claim 8, wherein said events are related by a key function.
10. The server of claim 9, wherein said node is determined based on said key function.
11. The server of claim 8, wherein said amending is based on a current state associated with said related events.
12. A non-transitory computer-readable medium for distributed processing of streaming call center data on an event protocol, comprising logic instructions that, if executed:
(a) receive a plurality of related events from said streaming call center data at a node, said streaming call center data including data being dynamically collected during on-going phone calls while the data are being processed;
(b) amend a state of said related events based on a common key function of the related events;
(c) determine an error margin based on the amended state, said error margin representing an uncertainty in the streaming data as a result of a portion of said data being from on-going phone calls; and
(d) update a current data transformation based on the amended state and error margin, thereby enabling real time analysis of streaming data.
13. The computer-readable medium of claim 12, wherein said events are related by a key function.
14. The computer-readable medium of claim 13, wherein said node is determined based on said key function.
15. A method for distributed processing of streaming call center data on an event protocol, comprising:
(a) receiving a plurality of events from said streaming call center data at a first node, said streaming call center data including data being dynamically collected during on-going phone calls while the data are being processed;
(b) determining a second node for processing a set of related events; and
(c) sending said set of related events to said second node; said second node being configured to:
(1) amend a state of said related events based on a common key function of the related events;
(2) determine an error margin based on the amended state, said error margin representing an uncertainty in the streaming data as a result of a portion of said data being from on-going phone calls; and
(3) update a current data transformation based on the amended state and error margin, thereby enabling real time analysis of streaming data.
16. The method of claim 15, wherein said events are related by a key function.
17. The method of claim 16, wherein said second node is determined based on said key function.
18. The method of claim 15, wherein said amending is based on a current state associated with said related events.
19. The method of claim 15, wherein said updating includes modifying a prior measurement.
20. A system for distributed processing of streaming call center data on an event protocol, comprising:
a plurality of map nodes implemented in one or more computing devices for obtaining streaming call center data from a service, said streaming call center data including data being dynamically collected during on-going phone calls while the data are being processed;
a plurality of reduce nodes implemented in one or more computing devices and cross connected to said map nodes; each of said reduce nodes including:
(1) a data transformation module configured to receive a plurality of related events from said streaming data at a node and amend a state of said related events based on a common key function of the related events;
(2) an error calculation module configured to determine an error margin based on the amended state, said error margin representing an uncertainty in the streaming data as a result of a portion of said data being from on-going phone calls; and
(3) a result generation module configured to update a current data transformation based on the amended state and error margin, thereby enabling real time analysis of streaming data.
21. The system of claim 20, wherein said events are related by a key function.
22. The system of claim 21, wherein said second node is determined based on said key function.